Join Our Team
Help us build the future of robotics and shape the next generation of human-robot interaction.
Why Join Us?
We're a high-performance team of innovators who move fast, break barriers, and build the future of robotics.
- ✓🚀 Ship fast, learn faster
- ✓💡 Break things, make things
- ✓🎯 Impact-driven execution
- ✓⚡️ High velocity, high quality
- ✓🤝 Build together, win together
- ✓🎮 Play hard, work harder
- ✓💪 Own it, drive it
- ✓🌟 Make history, break records
Legends Apply Here.
Robotics Software
Build the robust infrastructure and systems that power our robotic platforms — from real-time control to data management and deployment.
🤖 Embedded Software Engineer
Join our embedded systems team to develop low-level firmware and real-time control systems that drive our next-generation robotic hands. You'll work on high-performance motor control, tactile sensing, and embedded safety-critical systems, enabling responsive and precise manipulation.
- •BS or MS in Robotics, Mechatronics, Electrical Engineering, or related fields
- •Firmware development experience in Rust or C/C++ using embedded frameworks (e.g. Embassy, FreeRTOS, Zephyr)
- •Strong Python skills for hardware integration and HIL testing
- •Familiarity with RTOS concepts and real-time Linux kernel tuning
- •Experience with motor drivers, PID control, and actuator modeling
- •Understanding of timing-critical control loops and feedback systems
- •Hands-on experience with communication protocols (CAN, SPI, I2C, EtherCAT)
- •Comfortable using oscilloscopes, logic analyzers, and low-level debugging tools
- •(+) Familiarity with ROS/ROS2, hardware-in-the-loop (HIL) pipelines, or tactile sensing
🚀 Robotics Infrastructure Software Engineer
Join our platform team to build the data and logging infrastructure that powers real-world robot learning. You’ll work across ROS, Rerun, and cloud systems to enable fast, reliable, and scalable data pipelines for training, visualization, and robot replay.
- •BS or MS in Computer Science, Robotics, or related technical fields
- •Strong background in Linux systems programming and shell scripting
- •Fluency in Rust (Tokio), Python, and C/C++
- •Experience with MCAP, Cap’n Proto, or similar high-throughput logging formats
- •Experience building tools like Rerun, RViz, or equivalent visualization frameworks
- •Understanding of structured data pipelines and distributed backend design
- •(+) Familiar with URDF/MJCF/SDF and simulation environments (MuJoCo, Isaac Sim)
- •(+) Comfortable with ROS/ROS2, bag files, and ZeroMQ or DDS-based transports
- •(+) Knowledge of profiling/debugging tools like perf, gdb, strace
- •(+) Experience deploying infrastructure to AWS, Azure, or hybrid clusters
AI Software
Build the intelligence that powers our robots—from real-time control to deep learning and perception systems.
⭐ 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
🖐️ Dexterous Manipulation Engineer (RL, Imitation Learning, Foundation Models)
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
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.
🍀 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
🌱 Robotics Software Engineering Intern - AI & Robotics Infrastructure (Sept., 6-12 months)
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)
🎓 Research Intern – Dexterous Manipulation & Embodied Vision (MS/PhD, 6-12 months)
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
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. Don't see a job that fits? Tell us how you can help — we're always looking for builders.
🔥 Full-Time Engineer – Define and Own Your Impact
We're building a team of exceptional engineers who want to work on hard problems and actually ship. If you're not just looking for 'a job' but want to own major parts of the stack, build fast, and solve problems end-to-end — this role is yours to define. Show us where you thrive and how you'll bring value. We care less about job titles and more about outcomes.
- •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)
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. Come prove yourself in a real startup environment and leave with real contributions shipped.
- •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