What are the responsibilities and job description for the Embedded Software Engineer position at Lumex Talent?
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.
Salary : $170,000 - $215,000