About the role

Aplyr's Quick Take

This role is for a Senior Firmware Engineer focused on developing and maintaining Linux kernel device drivers for hardware used in edge AI systems. You'll be hands-on with low-level software, working closely with hardware teams to ensure everything runs smoothly in production environments.

Good fit

Ideal candidates have at least 5 years of firmware development experience, particularly with Linux kernel and device drivers. A strong background in C programming and familiarity with embedded systems is essential, along with a collaborative working style.

Worth noting

The role requires deep technical expertise and hands-on debugging skills, which may be challenging for those without extensive experience in Linux internals. The focus on edge AI systems suggests a fast-paced, innovative environment.

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

Skills & Tags

go ai mobile data product design

Aplyr's read

Hayden AI is at the forefront of AI-driven urban mobility, attracting engineers and technical experts passionate about smart city innovations.
Synthesized from recent postings & public sources

What's promising

•Hayden AI focuses on cutting-edge AI solutions for urban mobility, a rapidly growing sector.
•The company offers roles in advanced engineering fields, indicating a commitment to technological innovation.
•Hayden AI's work on smart city applications aligns with global urbanization trends, promising long-term relevance.

What to watch

•Limited public information about company culture and employee satisfaction.
•As a specialized tech company, it may face challenges in scaling operations quickly.
•The niche focus on urban mobility may limit diversification opportunities.

Why Hayden AI

•Hayden AI specializes in AI solutions specifically for urban mobility, differentiating it from general AI firms.
•The company integrates AI with smart city infrastructure, offering unique technological applications.
•Hayden AI's focus on real-world urban challenges sets it apart in the AI industry.

Aplyr’s read is generated by AI from public sources. Was it useful?