Embedded Software Engineer (San Francisco)

Title: Embedded Software Engineer Location: Onsite in San Fransisco Base Salary Expectation: $170,000- $215,000 The Opportunity This is an opportunity to join an elite, venture-backed startup developing revolutionary AI-driven vision technology. The company is replacing traditional, bulky night-vision hardware with ultra-compact, high-speed neural reconstruction algorithms. Their system enables sub-cubic-inch cameras to render clear imagery in near-total darkness (moonless starlight) while operating at high frame rates and ultra-low power consumption. The team is seeking a highly motivated Embedded Engineer to be instrumental in designing and optimizing software for edge AI systems, specifically focusing on the integration of custom imaging sensors and displays into advanced SoC/SoM packages. Core Responsibilities Driver Development: Develop, port, and optimize Linux device drivers for a variety of specialized peripherals and high-speed sensors. BSP Management: Modify and maintain Android Board Support Packages (BSP) to enable custom drivers and hardware functionality. Systems Integration: Collaborate across hardware and product teams to ensure seamless interaction between the edge AI chip and peripheral components. Optimization & Debugging: Troubleshoot complex embedded system issues at the intersection of hardware and software to ensure 90+ FPS performance at minimal power draw. Documentation: Create clear design and implementation records for scalable manufacturing and future hardware iterations. Technical Qualifications Core Language: Professional-level mastery of C . Operating Systems: Deep expertise in Embedded Linux and Linux Kernel development. Hardware Bring-up: Proven experience with Android BSP and enabling custom hardware peripherals on existing SoC architectures. Domain Knowledge: Prior experience with imaging sensors, displays, or high-speed data transmission in embedded environments is highly preferred. Edge AI: Understanding of how software interacts with edge AI chips/accelerators is a significant plus. The Environment Pace: A high-growth, rapid-iteration startup culture backed by top-tier Silicon Valley investors. Impact: You will be working on a world-first technology that has applications across robotics, autonomous drones, and defense. Team: A lean, engineering-heavy team focused on solving foundational physics problems through software.