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À propos
Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below.
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. xywuqvp Team:
A lean, engineering-heavy team focused on solving foundational physics problems through software.
Compétences linguistiques
- English
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