Electrical Engineer High-Density Power Electronics and Sensor Integration

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

• Strong understanding of fundamental physics and engineering from first principles
• Strong communication skills and high attention to details
• 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) Join our embedded systems team as a Firmware Engineering Intern and help build the low-level real-time firmware that powers our robotic hands. You’ll work directly with microcontrollers, sensors, and motor drivers while contributing to high-performance robotic actuation and sensing pipelines.

• 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) Join our embedded systems team to help build real-time firmware and low-level control systems for robotic hands. You'll contribute to motor control, sensor integration, and testing workflows that bring responsive robotic hardware to life.

• 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

Join our platform team to build the data infrastructure that powers our robotic learning systems. You'll develop high-performance logging pipelines, build visualization tools for multimodal sensor data, and create systems that help our AI teams train better robotic policies.

• 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)

Join our research team to explore learning-based control and perception systems for dexterous humanoid manipulation. You'll contribute to training high-DOF control policies, building vision-tactile fusion pipelines, and scaling data-driven methods to tackle real-world manipulation tasks.

• Currently enrolled in an MS or PhD program in Robotics, Computer Science, or related field
• Strong foundation in reinforcement learning, imitation learning, or policy optimization
• Experience with robot simulators (e.g., MuJoCo, Isaac Gym/Lab, Brax)
• Proficiency in Python and at least one deep learning framework (PyTorch, JAX)
• Experience with vision-based policy learning or contact-rich manipulation tasks
• Familiarity with multi-modal sensor fusion (vision + proprioception + tactile)
• (+) Experience with diffusion policies, VLPs (e.g., RT-1/2, VIMA), or behavior cloning from video
• (+) Hands-on experience with robotic hardware or sim2real adaptation methods

Design and develop embedded systems, power electronics, and sensor integration for our humanoid robotics platforms. Electrical Engineer – High-Density Power Electronics and Sensor Integration • 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 Join our hardware team to design the next generation of wearable robotic interfaces and flexible actuation systems. You'll work at the intersection of soft robotics, materials science, and high-performance engineering to build hardware that blurs the line between biology and machines.

• 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

Engineer precision mechanical systems, actuators, and structural components for advanced humanoid manipulation. Mechanical Design Engineer – Humanoid Robotics • 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

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

• MS or PhD in Robotics, Computer Science, Computer Vision, 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

Multimodal Perception Engineer (Vision + Tactile + Audio) Build and deploy multimodal perception systems that fuse vision, tactile, force, and audio sensing. You'll work at the frontier of robotics perception and machine learning to create systems that enable robots to understand and interact with the world more like humans do. From foundation models to real-time deployment, you will shape the future of sensor-driven intelligence.

• MS or PhD in Computer Science, Robotics, Machine Learning, or a related field—or equivalent industry experience
• Experience integrating vision, tactile, force, or audio sensors in robotic systems
• Deep understanding of sensor fusion, time sync, calibration, and failure modes
• Strong grasp of probability, optimization, signal processing, and linear algebra
• Proficient in Python and PyTorch for model development
• Experience with C++ for high-performance or embedded deployment
• Comfortable working in Linux/Unix environments and with embedded hardware
• (+) Experience training or fine-tuning ViTs, MAE, or transformer-based models
• (+) Experience with diffusion models for generative or representation learning
• (+) Experience with camera calibration, stereo/depth sensors, or event-based vision systems
• (+) Experience deploying perception models to real-time or resource-constrained platforms
• (+) Experience designing or managing sensor data collection pipelines for ML model training

Build the AI infrastructure that powers learning, deployment, and operation of real-world robotic systems. You will design platforms for large-scale robot data ingestion, dataset management, model training, evaluation, and deployment—bridging robots, cloud compute, and user-facing tools. Working primarily with Next.js, TypeScript, and Rust, this role enables both internal researchers and external customers to train, deploy, and monitor AI-powered robots.

• BS or MS in Computer Science, Software Engineering, Machine Learning, or equivalent experience
• Strong experience building backend systems and APIs using TypeScript and/or Rust
• Experience designing and operating SQL and/or GraphQL-based systems
• Experience with modern web stacks for internal or customer-facing tools (Next.js, TypeScript, React)
• Strong experience with cloud platforms such as AWS, GCP, or Azure
• Familiarity with networking, authentication, and security best practices
• Experience supporting data-intensive or ML-driven systems
• Comfort collaborating across robotics software, ML, and cloud infrastructure teams

Join our team to push the frontier of dexterous manipulation using large-scale reinforcement learning, imitation learning, and generative models. You’ll lead efforts to train general-purpose control policies for high-DOF hands, build robust pipelines for real-world data collection and sim2real transfer, and help shape the future of embodied intelligence.

• MS or PhD in Robotics, Computer Science, or related field—or equivalent experience
• Expertise in reinforcement learning (e.g. PPO, SAC, DAPG), behavior cloning, or diffusion policy learning
• Experience with foundation models or representation learning for robotic control (e.g. RT-1/2, BC-Z, VIMA, RT-Trajectory)
• Familiarity with contact-rich manipulation tasks (grasping, in-hand manipulation, tool use, etc.)
• Strong software engineering skills in Python and C++ (including JAX or PyTorch, Linux environments)
• Experience working with MuJoCo, Isaac Gym/Lab, or Brax for high-performance simulation
• Knowledge of sim2real techniques (domain randomization, dynamics adaptation, residual policy learning)
• Comfortable training policies on high-dimensional action spaces with vision and proprioception
• Experience with hardware deployment and data collection on real robot platforms
• (+) Familiarity with tactile sensing, vision-language policies (VLP), or differentiable simulation

Build the robust infrastructure and systems that power our robotic platforms — from real-time control to data management and deployment. Camera Systems Engineer (MIPI / ISP / SoC) • 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 Join our wearable systems team to build high-performance sensing and wireless firmware for data gloves and on-body robotic interfaces. You will own the full embedded stack—from analog sensor acquisition and real-time signal processing to low-latency wireless streaming—enabling precise teleoperation, tactile feedback, and learning-based dexterous manipulation.

• 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 Join our embedded software team to build the Linux-based control, communication, and sensing infrastructure that powers our next-generation robotic hands. You will work across real-time Linux, device drivers, robotics middleware, and high-performance data pipelines—enabling precise, responsive, and safety-critical robotic manipulation.

• 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
• 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

Join our embedded systems team to build the sensing, motor control, and low-level actuation firmware that powers our next-generation robotic hands. You will develop real-time drivers, bring up custom hardware, and integrate advanced sensors and actuators to support precise and dexterous manipulation.

• 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

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 • 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

Startup Internship – Build Real Things (6–12 months) This is not a typical internship. You'll be building real things from day one. If you're a student who codes outside of class, chases hard problems for fun, and wants to learn by doing — this is for you. Apply to the internship role in the department that best matches your interests, or if none fit perfectly, apply to the closest match and tell us your preferred focus area.

• 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

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