Embedded Engineer

Physical Intelligence is bringing general-purpose AI into the physical world. We are a team of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.

This role is part of the Runtime team, but will include deep collaboration with the Research, Hardware, and Fleet teams.

• Drive the architecture and implementation of embedded firmware for devices crucial to PI’s data collection goals

• Work with hardware and software teams to ensure the new devices we are building work seamlessly with existing and future data pipelines

• Embedded Linux System Bring-up: Lead the integration of embedded Linux devices with real-time sensor processing. This includes developing drivers for high-speed sensors, BSP development and customization, kernel configuration and debugging, hardware bring-up, and performance tuning across the hardware/software boundary.

• Hardware/Software Debugging: Use hardware abstraction tools and laboratory equipment to identify and resolve complex timing issues, race conditions, and hardware-software interface bugs.

• Power Optimization: Analyze and reduce power consumption for battery-operated devices, including on radio sleep states and sensor low-power modes.

• BS/MS in Computer Science, Electrical Engineering, or related field.

• Strong software engineering and infrastructure skills, including building data pipelines, evaluation frameworks, and tools for rapid iteration.

• Comfort working hands-on with hardware.

• Strong communication skills for collaborating with hardware, software, and research teams

• Demonstrated experience leading initiatives from concept to production on aggressive schedules, and turning ambiguous product goals into functional requirements

• Experience leading initial board bring-up and software design for first-of-their-kind embedded devices.

• Hands-on experience with SPI, I2C, UART, USB, and the ability to debug complex hardware-software interactions.

• Experience architecting, implementing and debugging concurrent and multithreaded firmware services

• Deep understanding of modern operating systems, computer architecture, and trade-offs between compute, memory, and storage.

• Experience bringing up and integrating sensors on embedded systems; camera system bring-up, integration, and tuning is a plus.

• Proficiency in C++

• Familiarity with Bash scripting and Python for tooling and automation.

• Nice to have: Direct experience with Linux Kernel development, including writing or debugging drivers, managing device trees, or optimizing kernel-space performance.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.