Join Our Team

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

Meet Our Team

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.

AI Software

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

⭐ AI & Robotics Research Engineer - Dexterous Manipulation

Palo Alto, CA (On-Site)•Full-time

Proception is seeking an expert in reinforcement learning to help build foundation models for dexterous humanoid manipulation. You will lead the design of scalable RL pipelines, train robust policies on high-DOF robotic hands, and deploy intelligent behaviors that push the limits of real-world robotic control.

•MS or PhD in Computer Science, Robotics, RL, or a related field, or equivalent experience
•Deep expertise in reinforcement learning, policy optimization, and control theory for high-dimensional continuous systems
•Strong background in probability, optimization, and linear algebra
•Experience training and deploying RL models on real robots
•Proficiency in Python and C++ on Linux/Unix systems
•Hands-on with robotics simulators like MuJoCo or Isaac Sim
•Experience with imitation learning or inverse RL methods
•Skilled at writing scalable training code and managing large experiments
•Bonus: Familiarity with tactile sensing or robot morphology optimization
•Self-driven and thrive in a high-velocity, high-impact environment

Apply Now

⭐ AI & Robotics Research Engineer - Visual-Tactile Sensing

Palo Alto, CA (On-Site)•Full-time

Join our perception team to build state-of-the-art multimodal models combining vision and touch. You'll work on adapting vision transformers, diffusion models, and self-supervised techniques to build robust perception for real-time robotic manipulation.

•MS or PhD in Computer Science, Robotics, ML, or a related field, or equivalent experience
•Experience with ViTs, MAE, or transformer-based vision models
•Experience with diffusion models for representation or generation
•Familiarity with tactile perception or multimodal ML techniques
•Strong knowledge of deep learning fundamentals (CNNs, attention, etc.)
•Proficient in PyTorch, Python; some C++ for deployment
•Comfortable working with Linux/Unix; CUDA experience is a plus
•Experience with robotic perception systems or tactile sensors
•Strong mathematical foundation in probability, optimization, and linear algebra
•Motivated to work in a fast-paced, high-ownership environment

Apply Now

🌱 AI & Robotics Research Engineering Intern – Dexterous Manipulation (6-12 months)

Palo Alto, CA (On-Site)•Internship

Join our AI team as an intern and contribute to learning systems for real-world robotic hands. You'll train reinforcement and imitation learning models, integrate sensor data, and test your models in both simulation and on real robots.

•Currently pursuing a MS or PhD in CS, Robotics, AI, or a related field
•Experience with RL, imitation learning, or deep learning techniques
•Proficient in Python and PyTorch or TensorFlow
•Familiarity with simulators like MuJoCo, Isaac Gym, or PyBullet
•Bonus: understanding of control theory or high-DOF systems

Apply Now

Platform Software

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

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

Palo Alto, CA (On-Site)•Internship

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.

•Pursuing a BS or MS in CS, Robotics, or related engineering fields
•Proficient in Python, and either C++, or Rust
•Experience with Linux systems, shell scripting, and system tools
•Familiarity with performance profiling and debugging tools (perf, strace, gdb)
•Experience building data pipelines or visualization tools
•Familiarity with ROS, bag files, and robotics data formats
•Understanding of sensor calibration and data storage
•Bonus: experience with AWS/Azure or SIL testing setups
•Bonus: experience with URDF/MJCF/SDF and ROS/ROS2
•Bonus: familiarity with robotics simulators (MuJoCo, Isaac Sim)

Apply Now

🌱 Robotics Software Engineering Intern - Real-Time Control & Embedded Systems (6-12 months)

Palo Alto, CA (On-Site)•Internship

Join our embedded systems team to develop the real-time control systems that power our robotic hands. You'll work on low-level firmware, motor control, and sensor integration to enable precise and responsive robotic manipulation.

•Pursuing a BS or MS in Robotics, Mechatronics, or related CS/Engineering fields
•Strong C/C++ skills with experience in embedded systems development
•Experience with real-time operating systems (RTOS) and Linux kernel development
•Familiarity with motor control systems and sensor interfaces
•Understanding of real-time control loops and timing constraints
•Experience with communication protocols (CAN, SPI, I2C, EtherCAT)
•Familiarity with debugging tools (oscilloscopes, logic analyzers)
•Bonus: experience with ROS/ROS2, machine learning, or HIL testing

Apply Now

Hardware

Shape the future of humanoid robotics by building the physical systems that bring our AI to life. From embedded electronics to soft materials, this team brings the physical intelligence into the real world.

🧤 Mechanical Engineer – Wearable Electronics & Flexible Materials

Palo Alto, CA (On-Site)•Full-time

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.

•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

Apply Now

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

Palo Alto, CA (On-Site)•Full-time

At Proception, we're building the most dexterous humanoid hands in the world: 20+ actuators tightly packed into a compact robotic forearm. As an Electrical Engineer, you'll lead the design of embedded systems that handle motor control, power delivery, sensor integration, and real-time communication within extreme spatial and thermal constraints. Your work will directly impact the intelligence, responsiveness, and robustness of our robotic platforms.

•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

Apply Now