ROBOTICS CAREERS
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53 listings
Hardware TechnicianSan Francisco, CA · Onsite · Hardware & engineeringJH-1001 +
About the company
A robotics team developing autonomous machines for industrial infrastructure work.
Team and growth
A small team iterating on physical robots and building the systems needed for deployment.
About the role
Build and test robotics hardware while coordinating workshop work across engineering teams.
Responsibilities
- Prioritize incoming build and test tasks.
- Operate and maintain 3D printers.
- Improve workshop processes and document test results.
Requirements
- Practical making experience, CAD proficiency, and hardware troubleshooting skills.
- Strong communication and ability to prioritize several deadlines.
- Onsite five days weekly; six may be needed during crunch periods.
Preferred experience
- Hardware or manufacturing experience; broader shop-tool skills.
Compensation and benefits
Published annual range: $80,000–$120,000 USD. Equity is also listed. Final compensation depends on role scope, experience and the employer’s offer.
Benefits are not detailed in the source listing.
Controls Engineer - ActuationAustin, TX · Software, controls & deploymentJH-1002 +
About the company
A robotics company developing humanoid robots for work alongside people in manufacturing and logistics.
Team and growth
The team is working toward commercialization and production at scale.
About the role
Connect accurate actuator simulation with reliable low-level control on physical robots.
Responsibilities
- Model friction, compliance, thermal effects, and actuator limits.
- Characterize hardware and identify system parameters.
- Design torque/current controllers and build Python/C++ test and tuning tools.
Requirements
- Relevant BS plus 4 years, MS plus 2 years, or PhD.
- Strong C++, including simulator internals, and Python.
- Motor electromechanics, classical control, hardware tuning, and experimental system identification.
Preferred experience
- Legged robotics, dynamometers, thermal modeling, and sim-to-real workflows.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Lead Software Engineer - Dexterous ManipulationAustin, TX · Software, controls & deploymentJH-1003 +
About the company
A robotics company developing humanoid robots for work alongside people in manufacturing and logistics.
Team and growth
The team is working toward commercialization and production at scale.
About the role
Lead the software and learning strategy for dexterous robotic hand control.
Responsibilities
- Set manipulation architecture and technical roadmaps.
- Develop learning-based policies and reliable simulation-to-hardware transfer.
- Influence hand sensing and actuation requirements; mentor engineers.
Requirements
- Relevant BS/MS/PhD and 5+ years in manipulation or complex motion control, or 3+ with a PhD.
- Multi-fingered control, grasp planning, and successful physical deployments.
- Learning-based control, Python, real-time robotics, and physics simulation.
Preferred experience
- Teleoperation, tactile feedback, visual servoing, and hand bring-up.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Robotics Hardware EngineerDynamic Creatures · Cambridge, MA · Onsite five days/week · Hardware & engineeringJH-1004 +
About Dynamic Creatures
Dynamic Creatures develops interactive character robots for entertainment and hospitality settings.
Team and growth
A recently launched robotics startup building its engineering and operations team.
About the role
Prototype and refine robotic hardware across actuation, sensing, and mechanical structure.
Responsibilities
- Develop CAD subsystems and prototypes.
- Select and integrate motors, sensors, and electronics.
- Perform characterization and reliability tests; maintain bills of materials and manufacturing documentation.
Requirements
- 3+ years in robotics, consumer electronics, or related hardware.
- Mechanical or electrical fundamentals and practical machining, printing, or soldering.
- Relevant BS/MS or equivalent experience.
- US work authorization required; sponsorship is unavailable.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Medical, dental and vision coverage, plus paid time off.
Machine Learning: World ModelsSan Francisco, CA · Onsite · AI & machine learningJH-1005 +
About the company
A robotics company developing helpful robots for everyday tasks in the home.
Team and growth
A small engineering, design and operations team with broad individual ownership.
About the role
Develop controllable neural world models that represent physics, causality, and long-range dynamics.
Responsibilities
- Design spatiotemporal architectures for extended world simulation.
- Train large models on GPU clusters.
- Improve data mixtures, evaluation, and training reliability.
Requirements
- Strong Python, C++, or Rust.
- Deep research or delivery experience with high-fidelity video generation.
- Ability to design architectures and reason about scaling and model failures.
- Experience operating large GPU training experiments.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
AI Engineer (World Models)San Francisco, CA · AI & machine learningJH-1006 +
About the company
A robotics company developing general-purpose humanoid systems for complex physical environments.
Team and growth
The team is developing its robot platform and preparing systems for broader deployment.
About the role
Build predictive world models that help robots plan and adapt in unfamiliar physical environments.
Responsibilities
- Architect learned representations for prediction, planning, and generalization.
- Integrate research models into tested robotic systems.
- Connect simulation learning with real-world inference.
Requirements
- Practical delivery experience with world models, model-based RL, or predictive simulators.
- PyTorch/JAX and relevant architectures including transformers, diffusion, NeRF, and recurrent state-space models.
- Python, production C++, ROS 2, and robotics simulation.
- Ability to implement current research.
Preferred experience
- Video prediction and future-frame generation.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Published benefits include health, vision and dental coverage, and a 401(k).
General Interest — EngineeringSan Francisco, CA · Onsite · General interestJH-1007 +
About the company
A robotics company developing helpful robots for everyday tasks in the home.
Team and growth
A small engineering, design and operations team with broad individual ownership.
About the role
General-interest application for exceptional engineers whose experience does not match a current advertised opening.
Responsibilities
- Specific responsibilities will be defined if a suitable opportunity is identified.
- Work across technical disciplines with independent ownership.
Requirements
- Strong reasoning and ability to learn unfamiliar domains quickly.
- Engineering curiosity and comfort working in an intensive, ambiguous environment.
- No specific degree or years-of-experience threshold is published.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Actuator Team LeadSan Francisco, CA · Onsite · Hardware & engineeringJH-1008 +
About the company
A robotics company developing general-purpose humanoid systems for complex physical environments.
Team and growth
The team is developing its robot platform and preparing systems for broader deployment.
About the role
Lead a multidisciplinary actuator team improving robotic performance and production readiness.
Responsibilities
- Improve efficiency, torque density, and manufacturability.
- Coordinate electrical, motor, transmission, controls, and electronics work.
- Prototype and model new actuator architectures.
Requirements
- Hands-on technical leadership and motor/actuator design experience.
- Strong electromechanical knowledge spanning controls, gearing, firmware, sensing, and packaging.
- 3D CAD, simulation/FEA, GD&T, tolerance analysis, and technical communication.
Preferred experience
- High-volume manufacturing experience.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Published benefits include health, vision and dental coverage, and a 401(k).
Machine Learning: Multimodal Foundation ModelsSan Francisco, CA · AI & machine learningJH-1009 +
About the company
A robotics company developing helpful robots for everyday tasks in the home.
Team and growth
A small engineering, design and operations team with broad individual ownership.
About the role
Build unified multimodal models that combine language, imagery, video, and robot motion for intelligent policies.
Responsibilities
- Develop shared multimodal representations and cross-modal reasoning.
- Own large-scale training, data mixtures, debugging, and evaluation.
- Integrate models into robot software and optimize edge inference.
Requirements
- Strong Python, C++, or Rust.
- Experience training and deploying large multimodal models.
- Expertise in pretraining, post-training, and reinforcement learning.
- Ability to manage large GPU experiments.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Senior Mechanical EngineerSan Francisco, CA · Onsite · Hardware & engineeringJH-1010 +
About the company
A robotics team developing autonomous machines for industrial infrastructure work.
Team and growth
A small team iterating on physical robots and building the systems needed for deployment.
About the role
Own precision mechanical subsystems from initial analysis through fabrication, integration, and deployment.
Responsibilities
- Design and validate structures, linear stages, bearings, actuators, and drivetrains.
- Use hand calculations, FEA, and trade studies to guide material and stiffness decisions.
- Coordinate machining and integrate hardware with controls and software.
Requirements
- 5+ years delivering precision electromechanical systems.
- Strong tolerance analysis, structural design, FEA, and hands-on machining experience.
- Onsite five days weekly; six may be needed during crunch periods.
Preferred experience
- Experience taking new subsystems through field deployment.
Compensation and benefits
Published annual range: $170,000–$225,000 USD. Equity is also listed. Final compensation depends on role scope, experience and the employer’s offer.
Benefits are not detailed in the source listing.
Mechatronics Manufacturing EngineerHouston, TX · 10% travel · Software, controls & deploymentJH-1011 +
About the company
A robotics company developing humanoid systems for demanding industrial tasks.
Team and growth
An early-stage team developing products for commercial deployment and large-scale manufacturing.
About the role
Build the fixtures and test stations used to assemble and validate robotic subsystems.
Responsibilities
- Design mechanical fixtures and integrate sensors, actuators, and electronics.
- Automate test sequences, data capture, and pass/fail decisions.
- Troubleshoot production stations and document calibration and maintenance.
Requirements
- Relevant bachelor’s degree or equivalent hands-on experience.
- 3+ years building production test equipment or assembly tooling.
- CAD, basic electrical schematics/wiring, and Python, C/C++, LabVIEW, or similar.
- Ability to debug across mechanical, electrical, and software systems.
Preferred experience
- Motor testing, statistical process control, PLCs, machine-shop work, and new-product introduction.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Published package includes a performance bonus, equity, medical coverage, paid time off and a company winter break.
Firmware Engineer - ActuationAustin, TX · Hardware & engineeringJH-1012 +
About the company
A robotics company developing humanoid robots for work alongside people in manufacturing and logistics.
Team and growth
The team is working toward commercialization and production at scale.
About the role
Develop production firmware for robotic actuators and brushless motor control.
Responsibilities
- Implement FOC, current and torque control, and controller tuning.
- Build hardware/software-in-loop tests and fault recovery.
- Support hardware bring-up, diagnostics, and field reliability.
Requirements
- Relevant bachelor’s degree or equivalent practical experience.
- 3+ years developing production embedded software.
- C/C++, Python, Docker, Git, hard real-time firmware, and brushless motor control.
- EtherCAT, embedded communications, schematic reading, and lab debugging.
Preferred experience
- TI C2000, safety-critical firmware, or model-based control design.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Senior / Staff AI Research Engineer, Data InfrastructureMilpitas, CA · Onsite five days/week · AI & machine learningJH-1013 +
About the company
An industrial robotics company developing AI-enabled machines for demanding physical work.
Team and growth
The team focuses on real-world deployment and scalable robotic systems.
About the role
Build robotics data and post-training infrastructure linking demonstrations to policy improvement.
Responsibilities
- Collect, synchronize, curate, and store multimodal demonstrations.
- Develop annotation, reward scoring, and failure-mining tools.
- Create robot rollout evaluation and retraining pipelines.
Requirements
- Relevant bachelor’s/master’s degree with 5+ years of experience.
- Python, production ETL, large dataset versioning, filtering, and distributed storage.
- SFT, reward modeling, or RL training infrastructure; familiarity with PyTorch/JAX.
Preferred experience
- Teleoperation hardware, VLA training, and experiment tracking.
Compensation and benefits
Published annual range: $185,000–$325,000 USD. Equity is also listed. A bonus is also listed. Final compensation depends on role scope, experience and the employer’s offer.
Published package includes bonus and equity, health, dental and vision insurance, and a 401(k).
Staff MLOps EngineerAustin, TX · Onsite · AI & machine learningJH-1014 +
About the company
A robotics company developing humanoid robots for work alongside people in manufacturing and logistics.
Team and growth
The team is working toward commercialization and production at scale.
About the role
Provide hands-on technical leadership for an MLOps platform spanning datasets, experiments, models, evaluation, and robot deployment.
Responsibilities
- Define platform interfaces and engineering standards.
- Build dataset lineage, model registries, and qualification gates.
- Own model packaging, rollout, rollback, and observability; mentor engineers.
Requirements
- 8+ years in software/ML infrastructure, or 4+ directly owning a production MLOps platform.
- Python plus Go, Rust, or C++; end-to-end model lifecycle expertise.
- Kubernetes, cloud systems, CI/CD, and cross-team technical leadership.
- Master’s preferred; bachelor’s considered with exceptional experience.
Preferred experience
- Edge inference, robotics evaluation, and staged autonomy rollouts.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Lead AI Research Engineer, Embodied SystemsMilpitas, CA · Onsite five days/week · AI & machine learningJH-1015 +
About the company
An industrial robotics company developing AI-enabled machines for demanding physical work.
Team and growth
The team focuses on real-world deployment and scalable robotic systems.
About the role
Lead the engineering systems that turn learned policies into real-time robot behavior.
Responsibilities
- Own inference, teleoperation, data collection, and on-robot RL systems.
- Set architecture and deliver systems from bring-up through deployment.
- Evaluate policies on hardware and mentor engineers.
Requirements
- Relevant bachelor’s/master’s with significant experience, or PhD.
- Track record leading complex robotic systems end to end.
- Strong C++/Python, real-time systems, and ROS/ROS 2.
- Experience integrating ML policies into physical robots.
Preferred experience
- Teleoperation data systems, closed-loop learning, or manipulation interfaces.
Compensation and benefits
Published annual range: $190,000–$265,000 USD. Equity is also listed. A bonus is also listed. Final compensation depends on role scope, experience and the employer’s offer.
Published package includes bonus and equity, health, dental and vision insurance, and a 401(k).
Robotics Engineer, Deployment & TestingSan Mateo, CA · Software, controls & deploymentJH-1016 +
About the company
A robotics AI company developing software that helps robots adapt to unfamiliar tasks and environments.
Team and growth
The team is building general-purpose robot intelligence and deploying learning-based systems.
About the role
Improve robotic software quality through rigorous automated tests and deployment validation.
Responsibilities
- Maintain regression suites and prioritize test plans.
- Reproduce production edge cases and troubleshoot customer-site failures.
- Keep robots deployment-ready and feed findings back to developers.
Requirements
- The source presents its qualifications as preferred; it does not publish a mandatory degree or experience threshold.
Preferred experience
- Relevant degree or equivalent experience.
- Python and C/C++/Rust/Go; real-time or embedded systems.
- Test engineering, requirements tools, ROS/ROS 2, and physical robot deployment.
- Software engineering fundamentals and ML integration.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Robotics Software EngineerDynamic Creatures · Cambridge, MA · Onsite five days/week · Software, controls & deploymentJH-1017 +
About Dynamic Creatures
Dynamic Creatures develops interactive character robots for entertainment and hospitality settings.
Team and growth
A recently launched robotics startup building its engineering and operations team.
About the role
Develop robotics features spanning perception, control, behavior, and engineering tools.
Responsibilities
- Deploy software onto physical robots.
- Write tested C++ and Python code.
- Troubleshoot drivers through higher-level behavior and collaborate with hardware and animation teams.
Requirements
- 3+ years building production robotics or systems software.
- Strong C++ and Python; experience with ROS, real-time systems, or embedded Linux.
- Relevant BS/MS or equivalent experience.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Medical, dental and vision coverage, plus paid time off.
Senior Software Engineer, ML InfrastructureAustin, TX · Software, controls & deploymentJH-1018 +
About the company
A robotics company developing humanoid robots for work alongside people in manufacturing and logistics.
Team and growth
The team is working toward commercialization and production at scale.
About the role
Build platform services that move robot data through curation, training, evaluation, and model deployment.
Responsibilities
- Develop scalable dataset and annotation pipelines.
- Build simulation evaluation, model stores, and release gates.
- Improve experiment tracking and researcher tooling; mentor through reviews.
Requirements
- 5+ years in software/ML infrastructure, or 3+ directly owning data/evaluation infrastructure for deployed models.
- Relevant bachelor’s/master’s degree or equivalent experience.
- Production platform expertise with depth in data pipelines, labeling, or evaluation/simulation.
- Strong Python, cloud, Kubernetes, Docker, testing, and CI/CD.
Preferred experience
- Robotics data formats, simulation, and edge model deployment.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Mechanical Design EngineerSan Francisco, CA · Onsite · Hardware & engineeringJH-1019 +
About the company
A robotics team developing autonomous machines for industrial infrastructure work.
Team and growth
A small team iterating on physical robots and building the systems needed for deployment.
About the role
A hands-on mechanical design role taking robot subassemblies from concept to tested hardware.
Responsibilities
- Design parts and subassemblies; perform calculations, tolerance analysis, and basic FEA.
- Fabricate, assemble, and test components on fixtures and robots.
- Revise designs quickly using test findings.
Requirements
- The posting lists 1–4 years of mechanical design experience and welcomes exceptional new graduates with strong projects or internships.
- Sound statics, materials, fastener selection, and machining skills.
- Onsite five days weekly; six may be needed during crunch periods.
Preferred experience
- Fusion 360 CAM or toolpath programming; hardware industry experience.
Compensation and benefits
Published annual range: $125,000–$170,000 USD. Equity is also listed. Final compensation depends on role scope, experience and the employer’s offer.
Benefits are not detailed in the source listing.
Principal Robotics Machine Learning EngineerAustin, TX · AI & machine learningJH-1020 +
About the company
A robotics company developing humanoid robots for work alongside people in manufacturing and logistics.
Team and growth
The team is working toward commercialization and production at scale.
About the role
Own learned robotic manipulation from data strategy through production deployment.
Responsibilities
- Develop manipulation models and data collection/annotation strategy.
- Transfer and fine-tune models from simulation to robots.
- Diagnose vision, calibration, model, and data failures; guide technical teams.
Requirements
- Relevant BS/MS/PhD; 7+ years in manipulation or complex motion control, or 5+ with a PhD.
- 5+ years shipping ML models on production robots.
- Python, C++, PyTorch, CNNs/transformers, and real-time robot software.
- Vision geometry, calibration, point clouds, data pipelines, and manipulator bring-up.
Preferred experience
- MLOps, simulation, teleoperation, or material-handling automation.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Senior / Staff Robotics Engineer, ManipulationMilpitas, CA · Onsite five days/week · Software, controls & deploymentJH-1021 +
About the company
An industrial robotics company developing AI-enabled machines for demanding physical work.
Team and growth
The team focuses on real-world deployment and scalable robotic systems.
About the role
Develop manipulation autonomy connecting arm motion planning with compliant physical control.
Responsibilities
- Build constrained, smooth arm trajectories and coordinate mobile base motion.
- Tune force-feedback and impedance/admittance control.
- Translate teleoperation input into safe robot motion.
Requirements
- Relevant PhD, or MS with 4+ years of industry experience.
- Rigid-body dynamics, kinematics, geometry, linear algebra, and Lie theory.
- Production real-time C++17/20 and motion-planning libraries.
- Practical PID, impedance, or MPC control on hardware.
Preferred experience
- Physics simulation, optimization solvers, learned control, or actuator buses.
Compensation and benefits
Published annual range: $160,000–$265,000 USD. Equity is also listed. A bonus is also listed. Final compensation depends on role scope, experience and the employer’s offer.
Published package includes bonus and equity, health, dental and vision insurance, and a 401(k).
General Interest — Robotics & BusinessDynamic Creatures · Cambridge, MA · Onsite five days/week · General interestJH-1022 +
About Dynamic Creatures
Dynamic Creatures develops interactive character robots for entertainment and hospitality settings.
Team and growth
A recently launched robotics startup building its engineering and operations team.
About the role
General-interest application for candidates whose expertise falls outside the advertised openings. The eventual position and scope will depend on fit.
Responsibilities
- Contribute across engineering, design, and operations as needs emerge.
- Take ownership of problems and learn how the wider system works.
Requirements
- Interest in robotics and AI applications.
- Strong motivation to learn and distinctive expertise to contribute.
- No fixed degree or experience threshold is specified.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Medical, dental and vision coverage, plus paid time off.
Robotics Engineer, ManipulationSan Mateo, CA · Software, controls & deploymentJH-1023 +
About the company
A robotics AI company developing software that helps robots adapt to unfamiliar tasks and environments.
Team and growth
The team is building general-purpose robot intelligence and deploying learning-based systems.
About the role
Develop manipulation software that brings learning-based algorithms onto real robots.
Responsibilities
- Design robotic manipulation algorithms and integrated systems.
- Build controllers and perception software.
- Maintain production C++/Python and deploy ML models with researchers.
Requirements
- The source lists qualifications as preferred and does not specify mandatory degree or years of experience.
Preferred experience
- Relevant degree or equivalent experience; physical manipulation deployments.
- Controls, kinematics, dynamics, planning, and robot middleware.
- Python and a deep-learning framework; robot learning and computer vision.
- Research publications or custom robot hardware experience.
Compensation and benefits
Published annual range: $100,000–$300,000 USD. Final compensation depends on role scope, experience and the employer’s offer.
Benefits are not detailed in the source listing.
3D Computer Vision EngineerSan Francisco, CA · Onsite · AI & machine learningJH-1024 +
About the company
A robotics company developing helpful robots for everyday tasks in the home.
Team and growth
A small engineering, design and operations team with broad individual ownership.
About the role
Create 3D perception systems combining geometric methods and deep learning for real-world robotics.
Responsibilities
- Develop SLAM, reconstruction, and tracking pipelines.
- Train and optimize models for depth, optical flow, and correspondence.
- Evaluate systems in realistic conditions and integrate with robot software.
Requirements
- Strong Python and/or C++, plus PyTorch and CUDA experience.
- Experience building 3D vision systems from scratch and calibrating/synchronizing sensors.
- Expertise in at least two areas: geometric estimation, dense reconstruction/novel views, or learned depth/flow/matching.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Principal Compute ArchitectSan Francisco, CA · Onsite · Hardware & engineeringJH-1025 +
About the company
A robotics company developing general-purpose humanoid systems for complex physical environments.
Team and growth
The team is developing its robot platform and preparing systems for broader deployment.
About the role
Evaluate and define custom inference-compute architecture for robotic workloads.
Responsibilities
- Compare custom chips with commercial options using performance, power, area, and cost models.
- Define dataflow, memory, interconnects, and hardware/software interfaces.
- Guide RTL exploration and present feasibility recommendations to leadership.
Requirements
- Relevant MS or PhD and 8+ years in digital IC, SoC, or ASIC/FPGA development.
- AI accelerator or inference-hardware track record.
- RTL design, simulation, synthesis, and real-time hardware/software co-design.
- Ability to evaluate workloads and lead vendor and technical discussions.
Preferred experience
- Low-power/mixed-signal design, hardware security, chip validation, and foundry collaboration.
Compensation and benefits
Published annual range: $210,000–$400,000 USD. Final compensation depends on role scope, experience and the employer’s offer.
Published benefits include health, vision and dental coverage, and a 401(k).
Reinforcement Learning Engineer, GraspingHouston, TX · AI & machine learningJH-1026 +
About the company
A robotics company developing humanoid systems for demanding industrial tasks.
Team and growth
An early-stage team developing products for commercial deployment and large-scale manufacturing.
About the role
Develop reinforcement-learning grasping policies for dexterous, high-degree-of-freedom robotic hands.
Responsibilities
- Train policies for grasping, tool use, and in-hand manipulation.
- Develop rewards and curricula in MuJoCo or Isaac Lab.
- Validate sim-to-real transfer and tactile feedback on physical robots.
Requirements
- Relevant BS, MS, or PhD.
- 2+ years of robotics manipulation RL; exceptional recent research graduates considered.
- Python, PyTorch/JAX, RL libraries, reward shaping, and policy evaluation.
- Experience with simulation geometry and sim-to-real validation.
Preferred experience
- Physical hand deployments, tactile sensing, contact-rich manipulation, or research publications.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Published package includes a performance bonus, equity, medical coverage, paid time off and a company winter break.
Senior/Staff Mechanical EngineerMilpitas, CA · Onsite five days/week · Hardware & engineeringJH-1027 +
About the company
An industrial robotics company developing AI-enabled machines for demanding physical work.
Team and growth
The team focuses on real-world deployment and scalable robotic systems.
About the role
Design and refine mechanical systems for industrial robotic products.
Responsibilities
- Develop mechanisms with electrical and software teams.
- Evaluate designs through simulation and feasibility studies.
- Create manufacturing drawings; coordinate vendors and validate prototypes.
Requirements
- Relevant master’s degree or PhD.
- 5+ years of mechanical design and concept-to-production project delivery.
- CAD, FEA, materials, manufacturing processes, and mechanical fundamentals.
Preferred experience
- Actuators, sensors, rapid prototyping, or robotics safety standards.
Compensation and benefits
Published annual range: $160,000–$265,000 USD. Equity is also listed. A bonus is also listed. Final compensation depends on role scope, experience and the employer’s offer.
Published package includes bonus and equity, health, dental and vision insurance, and a 401(k).
Mechanical EngineerHouston, TX · 10% travel · Hardware & engineeringJH-1028 +
About the company
A robotics company developing humanoid systems for demanding industrial tasks.
Team and growth
An early-stage team developing products for commercial deployment and large-scale manufacturing.
About the role
Design robotic mechanical systems from first sketches through manufacturing, test, and deployment.
Responsibilities
- Develop actuators, manipulators, and integrated assemblies.
- Perform structural analysis and create drawings and test plans.
- Work with manufacturing partners and interdisciplinary engineers.
Requirements
- Relevant engineering degree.
- 5+ years of mechanical design experience, or 3+ with an advanced degree.
- Shipped-product experience, high-volume manufacturing design, CAD, GD&T, and tolerance analysis.
- Hands-on prototyping and strong engineering analysis.
Preferred experience
- Precision mechanisms, thermal analysis, transmissions, or machine-shop experience.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Published package includes a performance bonus, equity, medical coverage, paid time off and a company winter break.
Staff Electrical Engineer - ComputeAustin, TX · Hardware & engineeringJH-1029 +
About the company
A robotics company developing humanoid robots for work alongside people in manufacturing and logistics.
Team and growth
The team is working toward commercialization and production at scale.
About the role
Lead compute hardware architecture for a robotic platform with demanding real-time and safety requirements.
Responsibilities
- Select compute modules and high-bandwidth sensor interfaces.
- Design high-speed PCBs, power systems, and safety mechanisms.
- Validate signal/power integrity, thermal performance, and production readiness.
Requirements
- Relevant bachelor’s degree; advanced degree preferred.
- 10+ years in embedded systems or robotics compute design.
- Shipped compute architectures and functional-safety design experience.
- Embedded platforms, RTOS, multicore systems, communications, and sensor bandwidth expertise.
Preferred experience
- Humanoid robotics experience.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Machine Learning: Whole-Body ControlSan Francisco, CA · AI & machine learningJH-1030 +
About the company
A robotics company developing helpful robots for everyday tasks in the home.
Team and growth
A small engineering, design and operations team with broad individual ownership.
About the role
Train whole-body control policies for coordinated locomotion and manipulation, from simulation to physical robots.
Responsibilities
- Build parallel simulation environments.
- Develop rewards, curricula, and control policies.
- Run GPU experiments and evaluate sim-to-real transfer with domain randomization.
Requirements
- Strong Python, C++, or Rust.
- Modern reinforcement learning and embodied-policy training experience.
- Hands-on robotics simulation and understanding of dynamics, contact, and actuation.
- Experience with large GPU experiments.
Preferred experience
- CUDA experience.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Machine Learning Data Infrastructure EngineerSan Francisco, CA · Onsite · AI & machine learningJH-1031 +
About the company
A robotics company developing helpful robots for everyday tasks in the home.
Team and growth
A small engineering, design and operations team with broad individual ownership.
About the role
Build the data infrastructure that turns collected robotics data into improved autonomous capabilities.
Responsibilities
- Design and operate large-scale data processing systems.
- Collaborate with ML and platform engineers.
- Independently diagnose infrastructure failures across the stack.
Requirements
- Strong Python, Go, and/or C++.
- Production experience processing petabytes across thousands of machines.
- Cloud networking knowledge covering performance, reliability, scalability, and security.
Preferred experience
- ML model serving and Kubernetes.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Senior Software EngineerSan Francisco, CA · Onsite · Software, controls & deploymentJH-1032 +
About the company
A robotics team developing autonomous machines for industrial infrastructure work.
Team and growth
A small team iterating on physical robots and building the systems needed for deployment.
About the role
Develop low-latency robotics software connecting cameras, AI models, control loops, and actuators.
Responsibilities
- Deliver performance-sensitive code on physical robots.
- Improve camera data transport, deterministic control timing, and pipeline reliability.
- Build instrumentation to diagnose latency and concurrency issues.
Requirements
- 5+ years developing production software close to hardware; Rust, Python, C++, operating systems, and multithreading.
- Experience debugging timing, concurrency, or hardware problems.
- Experience with Bazel, Nix, hardware-in-loop testing, CI/CD, Linux kernels, and embedded systems.
- Onsite five days weekly; six may be needed during crunch periods.
Preferred experience
- Real-time control, computer vision pipelines, tracing, profiling, or embedded Linux.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Senior Robotics Software Engineer - AutonomyHouston, TX · 10% travel · Software, controls & deploymentJH-1033 +
About the company
A robotics company developing humanoid systems for demanding industrial tasks.
Team and growth
An early-stage team developing products for commercial deployment and large-scale manufacturing.
About the role
Build autonomy software that converts high-level industrial tasks into safe, adaptable robot behaviors.
Responsibilities
- Coordinate perception, locomotion, and manipulation skills.
- Combine classical plan execution with learned policies.
- Develop world-model data, synthetic data, and regression/evaluation pipelines.
Requirements
- Relevant MS or PhD and 5+ years in robotics autonomy.
- 2+ years applying world models to planning, reasoning, and scene understanding.
- Behavior trees/state machines, world-model post-training and benchmarking.
- Hands-on NVIDIA Cosmos and Isaac Sim; strong Python, C++, and software engineering practices.
Preferred experience
- VLM planning, semantic mapping, Isaac Lab, or ROS 2 planning/navigation.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Published package includes a performance bonus, equity, medical coverage, paid time off and a company winter break.
Senior Robotics Systems EngineerMilpitas, CA · Onsite five days/week · Software, controls & deploymentJH-1034 +
About the company
An industrial robotics company developing AI-enabled machines for demanding physical work.
Team and growth
The team focuses on real-world deployment and scalable robotic systems.
About the role
Integrate robotics software and mechatronics into reliable deployed systems.
Responsibilities
- Build sensor, actuator, and embedded-device interfaces.
- Develop and debug mechanisms, circuits, and test fixtures.
- Resolve timing, networking, reliability, and integration failures.
Requirements
- Relevant BS/MS or equivalent practical experience.
- 4+ years building and deploying physical robots in industry or research.
- Drivers or hardware abstraction experience; familiarity with ROS, embedded Linux, communications, or integration.
- Ability to troubleshoot basic electrical and mechanical components.
Preferred experience
- Kernel development, mobile manipulators, teleoperation, or distributed robotics.
Compensation and benefits
Published annual range: $160,000–$265,000 USD. Equity is also listed. A bonus is also listed. Final compensation depends on role scope, experience and the employer’s offer.
Published package includes bonus and equity, health, dental and vision insurance, and a 401(k).
Robotics Manipulation & Controls EngineerSan Mateo, CA · Software, controls & deploymentJH-1035 +
About the company
A robotics AI company developing software that helps robots adapt to unfamiliar tasks and environments.
Team and growth
The team is building general-purpose robot intelligence and deploying learning-based systems.
About the role
Develop manipulation software that brings learning-based algorithms onto real robots.
Responsibilities
- Design robotic manipulation algorithms and integrated systems.
- Build controllers, planners, and perception software.
- Maintain production C++/Python and deploy ML models with researchers.
Requirements
- The source lists qualifications as preferred and does not specify mandatory degree or years of experience.
Preferred experience
- Relevant degree or equivalent experience; physical manipulation deployments.
- Controls, kinematics, dynamics, planning, and robot middleware.
- Python and a deep-learning framework; robot learning and computer vision.
- Research publications or custom robot hardware experience.
Compensation and benefits
Published annual range: $100,000–$300,000 USD. Final compensation depends on role scope, experience and the employer’s offer.
Benefits are not detailed in the source listing.
Software EngineerSan Francisco, CA · Onsite · Software, controls & deploymentJH-1036 +
About the company
A robotics team developing autonomous machines for industrial infrastructure work.
Team and growth
A small team iterating on physical robots and building the systems needed for deployment.
About the role
Develop low-latency robotics software connecting cameras, AI models, control loops, and actuators.
Responsibilities
- Deliver performance-sensitive code on physical robots.
- Improve camera data transport, deterministic control timing, and pipeline reliability.
- Build instrumentation to diagnose latency and concurrency issues.
Requirements
- 1+ years developing software close to hardware; exceptional new graduates with strong projects are welcome. Proficiency in Rust, C++, or Python and understanding of operating systems and multithreading.
- Experience debugging timing, concurrency, or hardware problems.
- Onsite five days weekly; six may be needed during crunch periods.
Preferred experience
- Real-time control, computer vision pipelines, tracing, profiling, or embedded Linux.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Electrical Engineer, Tactile/Hand SensorSan Francisco, CA · Onsite · Hardware & engineeringJH-1037 +
About the company
A robotics company developing general-purpose humanoid systems for complex physical environments.
Team and growth
The team is developing its robot platform and preparing systems for broader deployment.
About the role
Design compact tactile and force-sensing electronics for robotic hands.
Responsibilities
- Develop custom sensors and mixed-signal embedded circuits.
- Evaluate chips and perform board bring-up and validation.
- Guide design reviews and manufacturing/test improvements.
Requirements
- Relevant bachelor’s or master’s degree.
- Compact embedded-system design, sensor integration, motor control, and power electronics.
- ECAD, lab debugging, signal integrity, thermal design, and power distribution.
- Robotics/prosthetics/haptics hardware, chip evaluation, wireless/security, and compliance exposure.
Preferred experience
- Embedded C/C++ and firmware integration.
Compensation and benefits
Published annual range: $180,000–$300,000 USD. Equity is also listed. Final compensation depends on role scope, experience and the employer’s offer.
Published benefits include health, vision and dental coverage, and a 401(k).
Deep Learning - Robot Manipulation EngineerHouston, TX · 10% travel · AI & machine learningJH-1038 +
About the company
A robotics company developing humanoid systems for demanding industrial tasks.
Team and growth
An early-stage team developing products for commercial deployment and large-scale manufacturing.
About the role
Train deep-learning policies for dexterous robotic manipulation and deploy them on real hardware.
Responsibilities
- Build models and curricula for grasping, tool use, and longer tasks.
- Integrate tactile and proprioceptive feedback.
- Coordinate data collection and versioning; evaluate robustness in simulation and real trials.
Requirements
- Relevant master’s degree or PhD.
- 3+ years applying deep learning to robotic manipulation.
- Knowledge of behavior cloning, vision-language-action models, diffusion policies, and foundation models.
- Large-scale data/cloud experience and strong software development skills.
Preferred experience
- Robotics perception, leading conference publications, or production robot-learning deployments.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Published package includes a performance bonus, equity, medical coverage, paid time off and a company winter break.
Deployment Field EngineerDynamic Creatures · Cambridge, MA · Onsite; approximately 50% travel · Software, controls & deploymentJH-1039 +
About Dynamic Creatures
Dynamic Creatures develops interactive character robots for entertainment and hospitality settings.
Team and growth
A recently launched robotics startup building its engineering and operations team.
About the role
Serve as the technical contact at customer sites, supporting development, rollout, and daily robot operation.
Responsibilities
- Create site-specific test plans and conduct field tests.
- Debug problems, analyze operational data, and communicate findings to engineering.
- Coordinate technical delivery with customer expectations.
Requirements
- Engineering or business degree, or equivalent practical experience.
- Complex integration or robotics experience: 5+ years with a BS or 3+ with an MS.
- Track record leading hardware, software, and operational rollouts.
- US work authorization required; sponsorship is unavailable.
Preferred experience
- CAD site planning, enterprise networking, Python/C++ APIs, and scalable deployment processes.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Medical, dental and vision coverage, plus paid time off.
Reinforcement Learning EngineerAustin, TX · AI & machine learningJH-1040 +
About the company
A robotics company developing humanoid robots for work alongside people in manufacturing and logistics.
Team and growth
The team is working toward commercialization and production at scale.
About the role
Develop reinforcement-learning policies for coordinated robot locomotion and manipulation.
Responsibilities
- Train, transfer, and tune policies on physical hardware.
- Scale simulation and distributed training.
- Convert human demonstrations into reference motion and analyze hardware results.
Requirements
- Relevant PhD, or MS with 2+ years of industry experience.
- 3+ years using RL frameworks and high-fidelity simulators.
- Strong Python/C++, modern RL theory, robot dynamics, and controls.
- Successful physical-policy deployment and technical mentoring experience.
Preferred experience
- Strong robotics research publications.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
AI Engineer — Reinforcement Learning & Whole-Body ControlSan Francisco, CA · Onsite · AI & machine learningJH-1041 +
About the company
A robotics company developing general-purpose humanoid systems for complex physical environments.
Team and growth
The team is developing its robot platform and preparing systems for broader deployment.
About the role
Develop reinforcement learning for real-time robotic locomotion and whole-body control.
Responsibilities
- Train policies and validate them on physical hardware.
- Use curricula, randomization, and sim-to-real methods.
- Improve training infrastructure, robustness, and energy efficiency.
Requirements
- Relevant MSc or PhD and 2+ years of ML/RL in robotics or comparable real-time environments.
- Python/C++, deep-learning frameworks, physics simulation, ROS/ROS 2, and software testing.
- Control theory, locomotion dynamics, physical RL deployment, and distributed training.
- Open-source ML/RL or robotics contributions.
Compensation and benefits
Published annual range: $180,000–$350,000 USD. Final compensation depends on role scope, experience and the employer’s offer.
Published benefits include health, vision and dental coverage, and a 401(k).
Staff Machine Learning EngineerDynamic Creatures · Cambridge, MA · Onsite five days/week · AI & machine learningJH-1042 +
About Dynamic Creatures
Dynamic Creatures develops interactive character robots for entertainment and hospitality settings.
Team and growth
A recently launched robotics startup building its engineering and operations team.
About the role
Lead machine-learning projects that turn robotics and multimodal research into deployed product capabilities.
Responsibilities
- Frame research problems and lead delivery through deployment.
- Train models for perception, behavior, and interaction.
- Partner with engineering and mentor researchers and engineers.
Requirements
- Relevant PhD or equivalent experience.
- Strong publication record at leading ML, vision, or robotics venues.
- End-to-end large-model training experience and evidence of shipping research into products.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Medical, dental and vision coverage, plus paid time off.
Senior / Staff AI Research Scientist, Foundation ModelsMilpitas, CA · Onsite five days/week · AI & machine learningJH-1043 +
About the company
An industrial robotics company developing AI-enabled machines for demanding physical work.
Team and growth
The team focuses on real-world deployment and scalable robotic systems.
About the role
Research foundation and world models that support robot understanding, planning, and interaction.
Responsibilities
- Train vision-language-action and predictive world models.
- Develop spatial reasoning and multimodal interaction.
- Optimize and deploy models on robotic hardware.
Requirements
- Relevant PhD, or master’s with 4+ years of experience.
- Python and PyTorch/JAX.
- Foundation-model expertise and understanding of action-conditioned world models.
- Knowledge of multimodal transformers and diffusion architectures.
Preferred experience
- Video prediction, strong research publications, CUDA/TensorRT, or scalable experimentation.
Compensation and benefits
Published annual range: $200,000–$360,000 USD. Equity is also listed. A bonus is also listed. Final compensation depends on role scope, experience and the employer’s offer.
Published package includes bonus and equity, health, dental and vision insurance, and a 401(k).
Robotics Application EngineerPittsburgh, PA / San Mateo, CA · Software, controls & deploymentJH-1044 +
About the company
A robotics AI company developing software that helps robots adapt to unfamiliar tasks and environments.
Team and growth
The team is building general-purpose robot intelligence and deploying learning-based systems.
About the role
Connect robot foundation models with production applications and field deployments.
Responsibilities
- Develop, configure, and validate robotic software.
- Diagnose failures across hardware, software, and model layers.
- Build runbooks and monitoring tools; turn field findings into system improvements.
Requirements
- The source lists qualifications as preferred and does not specify a mandatory experience threshold.
Preferred experience
- Relevant degree or equivalent experience.
- 3–5+ years in robotics application development, integration, or deployment.
- Python, C++, ROS/ROS 2, and applied robotics ML.
- Autonomous systems, vision, simulation, and sensor integration.
Compensation and benefits
Published annual range: $100,000–$300,000 USD. Final compensation depends on role scope, experience and the employer’s offer.
Benefits are not detailed in the source listing.
Automation EngineerSan Francisco, CA · Onsite · Software, controls & deploymentJH-1045 +
About the company
A robotics team developing autonomous machines for industrial infrastructure work.
Team and growth
A small team iterating on physical robots and building the systems needed for deployment.
About the role
Design and debug the electrical architecture of industrial robotic automation cells. The emphasis is hardware architecture rather than extensive programming.
Responsibilities
- Select power, sensing, actuation, safety, and compute components.
- Combine industrial electronics with custom electrical systems.
- Support purchasing, assembly, and troubleshooting.
Requirements
- Experience designing at least one industrial automation cell from scratch.
- Engineering bachelor’s degree from an ABET-accredited institution.
- Electrical engineering fundamentals and some programming experience.
Preferred experience
- Vision systems, PCB and mixed-signal design, Python, or embedded Rust.
Compensation and benefits
Published annual range: $130,000–$170,000 USD. Equity is also listed. Final compensation depends on role scope, experience and the employer’s offer.
Benefits are not detailed in the source listing.
Electrical EngineerSan Francisco, CA · Onsite · Hardware & engineeringJH-1046 +
About the company
A robotics team developing autonomous machines for industrial infrastructure work.
Team and growth
A small team iterating on physical robots and building the systems needed for deployment.
About the role
Own robot electronics from design concept to functioning hardware and firmware interfaces.
Responsibilities
- Design PCBs and industrial automation electronics.
- Develop instrumentation and actuation solutions with mechanical engineers.
- Debug integrated systems, write firmware, and maintain design documentation.
Requirements
- Electrical controls background and PCB design skills.
- 1–4 years of electrical design experience; exceptional new graduates with strong projects are welcome.
- Onsite five days weekly; six may be needed during crunch periods.
Preferred experience
- Embedded C/C++ or Rust, motor control, and communication protocols.
Compensation and benefits
Published annual range: $130,000–$170,000 USD. Equity is also listed. Final compensation depends on role scope, experience and the employer’s offer.
Benefits are not detailed in the source listing.
Mechanical Engineer Intern (Fall 2026)San Francisco, CA · Onsite · Hardware & engineeringJH-1047 +
About the company
A robotics team developing autonomous machines for industrial infrastructure work.
Team and growth
A small team iterating on physical robots and building the systems needed for deployment.
About the role
A Fall 2026 internship taking robot subassemblies from concept to tested hardware.
Responsibilities
- Design parts and subassemblies; perform calculations, tolerance analysis, and basic FEA.
- Fabricate, assemble, and test components on fixtures and robots.
- Revise designs quickly using test findings.
Requirements
- The posting lists 1–4 years of mechanical design experience and welcomes exceptional new graduates with strong projects or internships.
- Sound statics, materials, fastener selection, and machining skills.
- Onsite five days weekly; six may be needed during crunch periods.
Preferred experience
- Fusion 360 CAM or toolpath programming; hardware industry experience.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Business Operations LeadSan Francisco, CA · Onsite · Business & operationsJH-1048 +
About the company
A robotics team developing autonomous machines for industrial infrastructure work.
Team and growth
A small team iterating on physical robots and building the systems needed for deployment.
About the role
Lead daily business operations for a robotics startup, building repeatable processes across finance, people, suppliers, and facilities.
Responsibilities
- Manage payments, reporting, expenses, purchasing, and supplier relationships.
- Coordinate payroll, benefits, onboarding, recruiting logistics, and office operations.
- Maintain operating metrics and automate recurring work with the founders.
Requirements
- 5+ years in business operations, chief-of-staff, or operations management work.
- Experience independently owning several operational functions.
- Discretion with sensitive financial and employee information.
- Onsite five days weekly; six may be needed during crunch periods.
Preferred experience
- Hardware-sector operations, import logistics, and written and spoken Mandarin.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Mechanical EngineerSan Francisco, CA · Onsite · Hardware & engineeringJH-1049 +
About the company
A robotics company developing helpful robots for everyday tasks in the home.
Team and growth
A small engineering, design and operations team with broad individual ownership.
About the role
Own mechanical subsystems and custom mechanisms from early prototypes through high-volume production.
Responsibilities
- Prototype and refine actuators and assemblies using failure analysis.
- Integrate mechanical designs with electronics and firmware.
- Lead tolerance analysis, material selection, manufacturing design, and vendor coordination.
Requirements
- Strong mechanical intuition and rapid prototyping ability.
- Experience shipping reliable hardware at scale and working directly with contract manufacturers.
- Design experience with molding, casting, sheet metal, extrusion, and powder-metal processes.
- Deep mechanism, actuator, gearing, and electromechanical integration experience.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Controls Systems EngineerHouston, TX · 10% travel · Software, controls & deploymentJH-1050 +
About the company
A robotics company developing humanoid systems for demanding industrial tasks.
Team and growth
An early-stage team developing products for commercial deployment and large-scale manufacturing.
About the role
Design low-level actuator control and embedded firmware for reliable robotic motion.
Responsibilities
- Implement current, torque, velocity, and position loops.
- Model drivetrain dynamics and bring up new actuator hardware.
- Debug with lab instruments and document control architecture and tuning.
Requirements
- Relevant engineering degree.
- 5+ years in motor/actuator control; less may qualify with an advanced controls degree.
- Classical controls, synchronized torque control, sensors, and low-latency filtering.
- Embedded C/C++, real-time microcontroller/DSP work, modeling tools, and lab troubleshooting.
Preferred experience
- RTOS, EtherCAT/CAN-FD, state estimation, transmissions, or functional safety.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Published package includes a performance bonus, equity, medical coverage, paid time off and a company winter break.
Office ManagerDynamic Creatures · Cambridge, MA · Onsite five days/week · Business & operationsJH-1051 +
About Dynamic Creatures
Dynamic Creatures develops interactive character robots for entertainment and hospitality settings.
Team and growth
A recently launched robotics startup building its engineering and operations team.
About the role
Manage a robotics office’s daily operations, visitor experience, and team events.
Responsibilities
- Welcome visitors and coordinate office access.
- Manage catering, calendars, offsites, merchandise, and office supplies.
- Maintain landlord relationships, parking arrangements, and kitchen inventory.
Requirements
- 1–2+ years in office management, facilities, or executive support.
- Organized, proactive, reliable, and comfortable working with guests and vendors.
- US work authorization required; sponsorship is unavailable.
Preferred experience
- Budget tracking and interest in robotics.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Medical, dental and vision coverage, plus paid time off.
Controls EngineerSan Francisco, CA · Onsite · Software, controls & deploymentJH-1052 +
About the company
A robotics team developing autonomous machines for industrial infrastructure work.
Team and growth
A small team iterating on physical robots and building the systems needed for deployment.
About the role
Develop precision motion and contact controllers for real robotic hardware.
Responsibilities
- Implement and tune motor control, trajectories, and feedback loops.
- Integrate drives, encoders, and force/torque sensors.
- Diagnose positioning errors and validate force and impedance control.
Requirements
- 3+ years controlling physical electromechanical systems.
- Control theory, system identification, stability analysis, and hands-on loop tuning.
- C++ or Rust for real-time code and Python for analysis.
- Onsite five days weekly; six may be needed during crunch periods.
Preferred experience
- EtherCAT, CANopen, precision motion, or real-time Linux.
Compensation and benefits
A salary range is not published in this listing. Contact Lewis to discuss compensation.
Benefits are not detailed in the source listing.
Electrical Engineer, Driver Design & Motor ControlSan Francisco, CA · Onsite · Hardware & engineeringJH-1053 +
About the company
A robotics company developing general-purpose humanoid systems for complex physical environments.
Team and growth
The team is developing its robot platform and preparing systems for broader deployment.
About the role
Design compact motor-driver and embedded electronics for dexterous robotic hands.
Responsibilities
- Own controller schematics, PCB layout, component selection, and motor-drive circuits.
- Integrate sensors, power stages, and embedded interfaces.
- Bring up boards and improve testability, manufacturing, and EMC.
Requirements
- Relevant bachelor’s or master’s degree.
- Strong compact embedded-system and motor-driver design experience; robotics experience is not required.
- Sensor integration, power electronics, ECAD, and lab debugging.
- Signal integrity, thermal/power design, and safety/EMC exposure.
Preferred experience
- Embedded C/C++ and firmware interfaces.
Compensation and benefits
Published annual range: $180,000–$300,000 USD. Equity is also listed. Final compensation depends on role scope, experience and the employer’s offer.
Published benefits include health, vision and dental coverage, and a 401(k).
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Listings checked September 11, 2026. Availability can change. General-interest listings welcome speculative applications.
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