
- Employment
- Full-time
- Seniority
- Senior
About the role
About Us
At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
What the job involves
We are seeking a Senior Firmware Engineer with deep expertise in Linux kernel and device driver development to join our Device Software team. In this role, you will own the low-level software stack that interfaces directly with hardware, enabling reliable, high-performance operation of our edge AI systems in production environments.
Responsibilities
Design, develop, and maintain Linux kernel device drivers for cameras, sensors, networking, and custom hardware peripherals
Own Linux kernel bring-up and platform enablement on embedded ARM64 systems (e.g., NVIDIA Jetson platforms)
Debug and resolve complex issues across kernel space, drivers, and hardware interactions (timing, interrupts, DMA, memory)
Develop and optimize high-throughput data paths (e.g., camera pipelines, CSI, ISP, video encode/decode)
Work closely with hardware teams to support board bring-up, hardware validation, and signal-level debugging
Implement and maintain driver support for peripherals such as GNSS, IMU, LTE/5G modems, CAN, and storage devices
Qualifications
Bachelor’s or Master’s degree in Computer Engineering or related technical discipline
Minimum of 5+ years of professional experience in firmware development or a related field
Strong programming experience in C, with deep expertise in Linux kernel and device driver development
Proven experience developing and debugging Linux kernel modules, drivers, and BSPs
Deep understanding of Linux internals
Hands-on experience with hardware interfaces and protocols
Experience with camera subsystems (V4L2), GStreamer, or video pipelines is highly preferred
Strong experience with ARM64 embedded platforms and board bring-up
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