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 Required
- 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
- Strong experience with ARM64 embedded platforms and board bring-up
Hayden AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hayden AI and has not been reviewed or approved by Hayden AI.
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Fair & Transparent Compensation — Pay is described as competitive for senior technical roles, with multiple posted ranges and wage baselines converging around high six figures. Equity and a company-wide bonus plan are also referenced as parts of the overall package.
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Healthcare Strength — Medical, dental, and vision coverage for employees and dependents is consistently listed, alongside FSA/DCFSA options. Some listings indicate very high employer premium coverage depending on role and location.
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Retirement Support — A 401(k) plan with an employer match is repeatedly cited as a standard component of the package. The presence of a stated match suggests a more structured retirement benefit than many early-stage startups.
Hayden AI Insights
What We Do
Artificial intelligence is already impacting almost every aspect of our lives. But cities still rely on outdated technologies that are too expensive to scale and unable to deliver on their promise. As a result, streets are becoming unsafe, and cities are becoming unmanageable. Hayden AI was founded on the belief that by combining mobile sensors with artificial intelligence, we can help governments bridge the innovation gap while making traffic flow less dangerous and more efficient. Led by a team of experts in machine learning, data science, transportation, and government technology, we’ve developed the world’s first autonomous traffic management platform — simultaneously serving citizens and multi-agency missions to help cities become safer and more sustainable.
