Embedded Engineer

Physical Intelligence • San Francisco, CA

10d

About The Position

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.

Requirements

• 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 Haves

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

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree