Embedded Engineer
Physical Intelligence · San Francisco
CHECKED 13H AGO
Roboticsonsite
At a glance
Highlights
- Architect embedded firmware for devices powering robot data collection.
- Integrate new devices seamlessly with current and future data pipelines.
- Debug complex timing issues across the hardware-software boundary.
Ideal candidate
Hands-on embedded leader who thrives at the hardware-software boundary and turns ambiguous goals into shipped devices. You enjoy collaborating across research and hardware teams to power physical AI.
Requirements
- BS/MS in Computer Science, Electrical Engineering, or related field
- Comfort working hands-on with hardware and lab equipment
- Demonstrated experience leading initiatives from concept to production on aggressive schedules
- Experience leading board bring-up and software design for new embedded devices
- Hands-on experience with SPI, I2C, UART, USB and debugging hardware-software interactions
- Experience architecting and debugging concurrent, multithreaded firmware services
- Deep understanding of operating systems, computer architecture and compute/memory/storage trade-offs
- Experience bringing up and integrating sensors on embedded systems
- Proficiency in C++ with Bash and Python for tooling and automation
Lab profile
About Physical Intelligence
Developing general-purpose AI foundation models to power robots for any physical task.
What they build
- General-purpose robot foundation models
- Learning algorithms for robot control
- Robotic systems and platforms
Known for
- Foundation model and system-building research
- Large-scale multimodal robot data operations
- Real-world fleet deployment and operations
- Prototype-to-production hardware engineering