Join Our Team

Help us build the future of robotics and shape the next generation of human-robot interaction.

Open roles

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All Roles (22)🌱 Internships (5)Electrical Engineering (3)Mechanical Engineering (3)AI Software (2)Robotics Software (5)Didn't find a perfect fit? (2)Manufacturing (2)

🌱 Internships

As an intern on our humanoid robotics team, you won't just observe innovation—you'll help create it. You'll work alongside world-class engineers and researchers to design, prototype, and test the mechanical, electrical, and sensory systems that allow our robots to think, move, and interact like humans.

🌱 Mechanical Engineering Intern (6-12 months)

Palo Alto, CA (On-Site)/Internship

• Strong understanding of fundamental physics and engineering from first principles
• Strong communication skills and high attention to details
• Experience designing and building quality prototypes quickly
• Experienced in using CAD software to design parts with complex geometry
• Experience with conventional machining and rapid prototyping methods
• Experience with precision design and manufacturing
• Experience with SolidWorks or Fusion 360
• Experience with actuators and geartrains (strain-wave, planetary, cycloidal, or ball screws)
• Experience with electromechanical integration (sensors, motors, motor drivers, wire harnesses, and communication buses)
• 1+ years of mechanical engineering industry experience, including owning products from concept to production
• (+) Experience with humanoids, exoskeletons, prosthetics, soft robots, or tendon drives
• (+) Experience with testing and validation of mechanical systems
• (+) Experience with basic python and C/C++ for scripting and testing workflows

🍀 Firmware Engineering Intern (6-12 months)

Palo Alto, CA (On-Site)/Internship

• Pursuing a BS or MS in Robotics, Electrical Engineering, Computer Engineering, or related fields
• Experience with Rust or C/C++ for embedded systems
• Hands-on experience with microcontrollers (STM32, ESP32, Nordic, or similar)
• Familiarity with communication protocols such as SPI, I2C, UART, CAN/CAN-FD
• Basic understanding of control loops (PID), timing, interrupts, and real-time constraints
• Ability to read schematics and use basic lab equipment (multimeter, oscilloscope, logic analyzer)
• Strong debugging and problem-solving skills
• (+) Experience with embedded Rust (Embassy), FreeRTOS, or bare-metal development
• (+) Experience with motor drivers, encoders, IMUs, or tactile sensors
• (+) Knowledge of ROS/ROS2, Python test scripts, or hardware-in-the-loop testing

🍀 Embedded Software Engineering Intern (6–12 months)

Palo Alto, CA (On-Site)/Internship

• Currently pursuing a BS or MS in Robotics, Mechatronics, EE, or related fields
• Experience in Rust or C/C++ for embedded or firmware-level development
• Familiarity with Python for scripting and testing workflows
• Basic understanding of real-time control systems and motor interfaces
• Familiarity with embedded debugging tools (oscilloscopes, logic analyzers)
• (+) Exposure to RTOS environments or frameworks like FreeRTOS, Rust Embassy
• (+) Understanding of CAN, SPI, I2C, or other embedded communication protocols
• (+) Experience with ROS/ROS2 or hardware-in-the-loop testing setups

🌱 Software Engineering Intern - Robotics Infrastructure (6-12 months)

Palo Alto, CA (On-Site)/Internship

• Currently pursuing a BS or MS in Computer Science, Robotics, or related fields
• Experience in Python, and at least one of Rust or C++
• Familiarity with Linux, basic system tools, and shell scripting
• Experience working with real-time data, logging, or streaming systems
• (+) Familiarity with ROS, bag files, or robot data formats
• (+) Experience with visualization tools like Rerun, RViz, or web dashboards
• (+) Exposure to MuJoCo, Isaac Sim, or other robot simulators
• (+) Understanding of versioned data formats (e.g., MCAP, Cap’n Proto, Protobuf)

🎓 Research Intern – Robot Learning & Manipulation (MS/PhD, 6–12 months)

Mountain View, CA (On-Site)/Internship

• Currently enrolled in an MS or PhD program in Robotics, Computer Science, Machine Learning, or related field
• Strong foundation in training neural networks — you can take a model from idea to a working, debugged result
• Strong foundation in imitation learning or reinforcement learning
• Proficiency in Python and at least one deep learning framework (PyTorch, JAX)
• Experience with vision-based policy learning — diffusion policies, 3D policies, vision-language-action models, video action models
• (+) Experience with robot simulators (e.g., MuJoCo, Isaac Gym/Lab)
• (+) Hands-on experience with robot hardware, real-world data collection, or sim2real adaptation
• (+) Familiarity with contact-rich or dexterous manipulation, or tactile sensing
• (+) Publications or preprints at robotics or ML venues (CoRL, RSS, ICRA, NeurIPS, ICML, ICLR)

Electrical Engineering

Design and develop embedded systems, power electronics, and sensor integration for our humanoid robotics platforms.

⚡ Electrical Engineer – High-Density Power Electronics and Sensor Integration

Palo Alto, CA (On-Site)/Full-time

• Experience designing and debugging high-density, mixed-signal PCBs (power + control + sensing)
• Deep knowledge of BLDC and servo motor control (FOC, current sensing, position feedback)
• Expertise in power electronics: switching regulators, gate drivers, current measurement, thermal management
• Proficiency with embedded communication protocols: CAN, CAN-FD, EtherCAT
• Experience integrating sensor arrays (force, tactile, IMUs, encoders) into embedded systems
• Comfortable designing robust power distribution and management systems with protection and monitoring features
• Strong embedded C/C++ and firmware development experience for real-time and RTOS-based systems
• Familiarity with EMI/EMC mitigation, thermal-aware layout, and high-current PCB design
• Skilled at hardware bring-up and debugging using tools like oscilloscopes, logic analyzers, and power analyzers

🧤 Wearable Robotics Hardware Engineer - Wearable Electronics & Flexible Materials

Palo Alto, CA (On-Site)/Full-time

• Experience designing mechanical systems for wearable devices or flexible electronics
• Expertise with soft materials, polymers, composites, and stretchable/flexible PCBs
• Hands-on with advanced prototyping and fabrication techniques (e.g., soft lithography, roll-to-roll)
• Familiarity with simulation tools such as ANSYS, COMSOL, or equivalent
• Strong ability to prototype, iterate, and solve problems quickly in a startup environment

🖐️ Tactile Sensing Hardware Engineer

Mountain View, CA (On-Site)/Full-time

• Flexible or stretchable electronics, textile-integrated electronics, or printed electronics
• Force, pressure, or capacitive sensing
• Analog front-end design and embedded systems
• Signal processing for high-resolution sensor data
• Wearable devices and sensor manufacturing
• MEMS or sensor development
• Bonus: robotics, human-computer interaction, machine learning for sensing, consumer electronics, or high-volume manufacturing
• You enjoy building things that don't exist yet and hold a high bar for engineering quality
• You like moving fast with a small team, and want your work deployed on real robots—not left in a research paper

Mechanical Engineering

Engineer precision mechanical systems, actuators, and structural components for advanced humanoid manipulation.

🥋 Mechanical Design Engineer — Exterior & Form

Palo Alto, CA (On-Site)/Full-time

• 1+ years of experience designing mission-critical mechanical systems for robotics or automation
• Mastery of CAD (SolidWorks, Fusion), FEA, and precision design—including surfacing for curvature-continuous cosmetic geometry
• Experience prototyping with your own hands—machining, printing, assembling, debugging
• Fluent in tolerance stack-ups, material properties, thermal constraints, and load paths
• Designed for real-world wear, slop, EMI, torque ripple, and backlash
• Demonstrated eye for form: shipped parts or a portfolio showing engineering work that also looks intentional
• Startup reflexes: you bias toward execution, learn fast, and document like it matters
• (+) Experience with humanoids, exoskeletons, prosthetics, soft robots, or tendon drives
• (+) Experience with testing and validation of mechanical systems
• (+) Working knowledge of CMF and finishing processes—anodization, bead blasting, molded textures, paint
• (+) Rendering skills (KeyShot, Blender)

🍦 Softgoods Engineer

Palo Alto, CA (On-Site)/Full-time

• 1+ years of experience engineering softgoods, elastomer components, or soft robotic systems for consumer hardware, wearables, prosthetics, medical devices, or robotics
• Hands-on mastery of silicone casting and molding—mold design, degassing, cure profiles, inserts, overmolding, and bonding soft materials to rigid substrates
• Deep working knowledge of elastomer material properties: Shore hardness selection, hyperelasticity, tear strength, compression set, abrasion resistance, and aging
• Experience prototyping with your own hands—casting, sewing, skiving, laser cutting, 3D printing molds, debugging failed pours at midnight
• Fluent in CAD (Fusion, SolidWorks) for mold and soft-part geometry, including draft, parting lines, and undercut strategy
• Designed soft parts for real-world wear: cyclic loading, friction and grip degradation, contamination, cleaning, and field replacement
• Startup reflexes: you bias toward execution, learn fast, and document like it matters
• (+) Experience with tactile sensor integration—capacitive, magnetic, resistive, or optical sensing embedded in soft structures
• (+) Experience with FEA of hyperelastic materials (Mooney-Rivlin, Ogden) or characterization testing to fit material models
• (+) Experience with textiles, films, foams, or multi-layer laminated constructions
• (+) Experience taking soft parts from prototype to production—compression molding, LSR injection, or cast urethane at volume

🤖 Mechanical Design Engineer – Humanoid Robotics

Palo Alto, CA (On-Site)/Full-time

• 1+ years of experience designing mission-critical mechanical systems for robotics, aerospace, or automation
• Mastery of CAD (SolidWorks, Fusion), FEA, and precision design
• Experience prototyping with your own hands—machining, printing, assembling, debugging
• You've built geartrains—strain wave, planetary, cycloidal—or you've designed your own
• Fluent in tolerance stack-ups, material properties, thermal constraints, and load paths
• Designed for real-world wear, slop, EMI, torque ripple, and backlash
• Experience with humanoids, exoskeletons, prosthetics, soft robots, or tendon drives
• Startup reflexes: you bias toward execution, learn fast, and document like it matters
• (+) Experience with humanoids, exoskeletons, prosthetics, soft robots, or tendon drives
• (+) Experience with testing and validation of mechanical systems

AI Software

Build the intelligence that powers our robots—from real-time control to deep learning and perception systems.

⭐ Robot Learning Researcher/Engineer (Imitation Learning, Foundation Models, RL)

Palo Alto, CA (On-Site)/Full-time

• MS or PhD in Robotics, Computer Science, Machine Learning, or related field—or equivalent experience
• Strong track record training neural networks end-to-end: you can take a model from idea to a working, debugged, reproducible result
• Experience developing robot learning policies like diffusion policies, 3D policies, vision-language-action models, or video action models
• Experience training models at scale: multi-GPU/multi-node training, large datasets, long runs, and debugging throughput, stability, and scaling behavior
• Strong software engineering skills in Python and PyTorch or JAX in Linux environments (C++ a plus)
• Experience building large-scale data pipelines for robot learning — demonstration collection, curation, filtering, and dataset design
• Comfortable training policies with high-dimensional action spaces and multimodal observations (vision, proprioception, language)
• Rigorous about evaluation: designing benchmarks, running ablations, and drawing correct conclusions from noisy real-world results
• (+) Hands-on robotics experience — hardware bring-up, teleoperation and real-world data collection, on-robot deployment
• (+) Experience with high-performance simulation (MuJoCo, Isaac Gym/Lab) and sim2real techniques (domain randomization, dynamics adaptation, residual policy learning)
• (+) Familiarity with contact-rich or dexterous manipulation, tactile sensing, or differentiable simulation

🧭 Spatial AI & SLAM Engineer

Palo Alto, CA (On-Site)/Full-time

• MS or PhD in Robotics, Computer Vision, Computer Science, or a related field—or equivalent industry experience
• Strong background in SLAM, state estimation, and probabilistic sensor fusion
• Deep understanding of 3D geometry, multi-view geometry, camera models, and calibration
• Hands-on experience building perception systems for real robotic platforms
• Experience with neural scene representations such as NeRFs, neural occupancy grids, or implicit SDFs
• Proficiency in Python and C++ in Linux-based robotics environments
• Experience working with large-scale datasets and long-running perception or learning experiments
• Self-driven, systems-oriented, and excited about deploying perception on real robots
• (+) Familiarity with Vision-Language-Action (VLA) or embodied AI systems
• (+) Experience with tactile, force, or event-based sensors
• (+) Background in Gaussian splatting, neural SDFs, or hybrid geometric-learning map representations
• (+) Experience integrating perception outputs into manipulation or control pipelines
• (+) Familiarity with Isaac Sim, MuJoCo, or photorealistic simulation environments

Robotics Software

Build the robust infrastructure and systems that power our robotic platforms — from real-time control to data management and deployment.

📷 Embedded Camera Systems Engineer (MIPI / ISP / SoC)

Palo Alto, CA (On-Site)/Full-time

• BS/MS in Electrical Engineering, Computer Engineering, Robotics, or equivalent industry experience
• Strong experience with embedded Linux camera stacks (V4L2, Media Controller, libcamera)
• Hands-on experience bringing up MIPI CSI-2 cameras on SoCs such as RK3588 or Jetson Orin
• Understanding of MIPI CSI-2, D-PHY / C-PHY, lane configurations, and bandwidth constraints
• Experience with camera sensor drivers, device tree configuration, and kernel debugging
• Proficiency in Rust and C/C++ for embedded systems and kernel-adjacent development
• Experience with camera calibration (intrinsics, extrinsics, stereo, multi-camera rigs)
• Comfortable working with oscilloscopes, logic analyzers, and hardware bring-up tools
• Strong Linux fundamentals (drivers, DMA, memory, interrupts, power management)

🧤 Firmware Engineer – Wearable Sensing & Wireless Systems

Palo Alto, CA (On-Site)/Full-Time

• Pursuing or completed BS/MS in Electrical Engineering, Computer Engineering, Robotics, or related fields
• Strong Rust (Embassy) and C/C++ experience in embedded firmware development
• Hands-on experience with low-power microcontrollers and SoCs (STM32, nRF52, ESP32, RP2040, or similar)
• Experience building wearable sensing pipelines using ADCs, SPI/I2C sensors, and DMA
• Understanding of digital signal processing for wearable signals: filtering, drift compensation, calibration, and sensor fusion
• Experience with wireless protocols such as BLE, Wi-Fi, or proprietary low-latency RF links
• Familiarity with power-aware firmware design: sleep states, duty cycling, latency vs. power tradeoffs
• Comfortable using oscilloscopes, logic analyzers, RF sniffers, and JTAG/SWD debuggers
• (+) Experience with strain gauges, FSRs, IMUs, flex sensors, or soft/tactile wearable sensors
• (+) Experience implementing BLE GATT services, custom wireless protocols, or streaming telemetry
• (+) Familiarity with antenna constraints, RF coexistence, and wearable form-factor limitations
• (+) Experience with sensor calibration tools, factory test flows, or per-device compensation
• (+) Exposure to XR, motion capture, haptics, or human-in-the-loop sensing systems

🧩 Embedded Software Engineer - Unix Systems & Platform Software

Palo Alto, CA (On-Site)/Full-Time

• BS or MS in Robotics, Computer Engineering, Electrical Engineering, Computer Science, or related fields
• Strong experience in C/C++ or Rust on embedded Linux systems
• Experience with Linux system programming: threading, IPC, scheduling, memory management
• Familiarity with real-time Linux (PREEMPT_RT), low-latency tuning, or real-time userland frameworks
• Hands-on experience developing Linux device drivers or integrating kernel modules
• Exposure to Linux build systems and distributions (Yocto, Buildroot, Debian-based systems)
• Knowledge of robotics-oriented communication protocols and interfaces (CAN, SPI, I2C, UART, EtherCAT)
• Experience building high-rate sensing or control pipelines (IMUs, force sensors, encoders, cameras)
• Comfortable with debugging tools: perf, strace, ltrace, gdb, logic analyzers, oscilloscopes
• (+) Experience with ROS/ROS2, DDS, or robotics middleware
• (+) Familiarity with GPU/accelerators, ZeroMQ, or shared-memory IPC
• (+) Understanding of motor control, PID tuning, or robot kinematics

🔗 Robotics Software Engineer – Runtime & Integration Infrastructure

Palo Alto, CA (On-Site)/Full-Time

• BS, MSc or PhD in Computer Science, Robotics, or related technical fields
• Strong background in Linux systems programming, shell scripting, and process-level debugging
• Solid understanding of real-time and distributed systems (latency, throughput, scheduling)
• Fluency in Rust and C++/Python
• Experience designing and debugging IPC systems (shared memory, ZeroMQ, DDS, gRPC, or similar)
• Hands-on experience integrating cameras and high-rate sensors on Linux platforms (V4L2, GStreamer, libcamera, or equivalents)
• Experience working with ROS or ROS2 in real robotic systems
• Comfortable debugging multi-process, multi-threaded systems under timing and resource constraints
• (+) Familiarity with profiling/debugging tools such as perf, gdb, strace, and system tracing tools
• (+) Experience with real-time Linux or deterministic networking
• (+) Familiarity with URDF/MJCF/SDF and robotics simulation environments (MuJoCo, Isaac Sim, Gazebo)

🧱 Firmware Engineer – Sensing & Actuation

Palo Alto, CA (On-Site)/Full-Time

• Pursuing or completed BS/MS in Robotics, Electrical Engineering, Computer Engineering, or related fields
• Strong Rust (Embassy) and C experience in embedded systems development
• Hands-on experience bringing up microcontrollers (STM32H7, ESP32, RP2040) and writing low-level drivers
• Experience with motor control systems, BLDC/servo drivers, encoder interfaces, and actuator feedback loops
• Experience with embedded communication protocols: SPI, I2C, CAN/CAN-FD, UART, PWM, ADC, DMA
• Worked with different types of actuators (BLDC, servo, stepper, etc.)
• Familiarity with real-time operating systems (FreeRTOS, Zephyr) or bare-metal development
• Understanding of real-time control loops, sensor fusion, and timing-sensitive firmware
• Comfortable using oscilloscopes, logic analyzers, JTAG/SWD debuggers, and low-level hardware tools
• (+) Experience with IMUs, tactile sensors, force sensors, or high-rate sensing pipelines
• (+) Knowledge of Linux real-time systems (PREEMPT_RT, Xenomai) or FPGA-based sensor interfaces
• (+) Familiarity with EtherCAT, distributed embedded networks, or safety-critical firmware
• (+) Experience with ROS/ROS2, HIL pipelines, or automated hardware testing
• (+) Experience building bootloaders, OTA systems, or secure firmware signing

Didn't find a perfect fit?

We're not just hiring for roles — we're hiring for impact. If you're someone who's cracked, self-motivated, and thrives on taking ownership and shipping real things, we want to hear from you. Please apply to the existing role that best matches your skills and interests, and tell us in your application how your background aligns and where you'd like to make your biggest impact.

🔥 Full-Time Engineer – Define and Own Your Impact

Palo Alto, CA (On-Site)/Full-Time

• BS, MS, or PhD in CS, Robotics, Engineering, or strong practical experience
• You've shipped — whether it's product, systems, open-source, or startups
• High agency: you don't wait to be told, you see the gap and fill it
• Strong problem-solving instincts and ownership mindset
• You're here to build, not maintain

🌱 Startup Internship – Build Real Things (6–12 months)

Palo Alto, CA (On-Site)/Internship

• Pursuing a BS or MS in CS, Robotics, Engineering — or an outstanding portfolio
• You've built things on your own — projects, startups, code, robots, etc.
• Curious, self-driven, and hungry to learn fast by doing real work
• Not afraid to take ownership and solve problems hands-on
• Strong interest in building AI, robotics, or real-world systems

Manufacturing

Bring robotic innovation to life by building the systems that power our humanoid platforms. From precision assembly to lean production, the Manufacturing team ensures every robot is built with reliability, consistency, and care.

Robotics Technician (Assembly & Testing)

Mountain View, CA (On-Site)/Contract About Proception At Proception, we’re building the future of humanoid robotics — starting with the most dexterous robotic hands ever made. Our mission is to give robots human-level manipulation skills through world-class hardware and AI training data. Role Overview We’re looking for a Robotics Technician who’s passionate about building things that move. You’ll be hands-on assembling our robotic hands — putting together precision mechanical, electrical, and tendon-driven systems that form the core of our humanoid platform. Why Join Us You’ll be part of a small, world-class team solving some of the hardest problems in robotics. We move fast, value craftsmanship, and make real things that work.

• Experience with mechanical/electronic assembly or lab technician work
• Skilled in using hand tools, soldering equipment, and test instruments
• Strong attention to detail and patience working with small, delicate components
• Ability to read simple assembly drawings or wiring diagrams
• Bonus: experience with robotics, actuators, or mechatronics systems

🏭 Manufacturing Engineer

Palo Alto, CA (On-Site)/Full-time

• Bachelor’s degree in Manufacturing Engineering, Mechanical Engineering, or a related field
• Proven experience in a manufacturing environment, preferably within robotics or a related industry
• Strong understanding of lean manufacturing principles and process optimization techniques
• Proficiency in CAD software for jig and fixture design, and in software tools for testing and automation
• Excellent problem-solving skills and attention to detail
• Effective communication and leadership abilities