Staff Software Engineer, Edge Applications

• Deliver bullet-proof, rigorously tested C++ code for embedded Linux edge devices (NVIDIA Platform).
• Iterate on real-time detection, tracking, and license-plate recognition systems under strict latency/memory constraints.
• Deep-dive performance optimization on NVIDIA Platform: CUDA streams, TensorRT (FP16/INT8), DLA offload, Nsight/tegrastats profiling, and bottleneck removal.
• Enhance developer tooling and CI for cross-compilation, containerized embedded system builds, hardware-in-the-loop tests, logging/telemetry, and OTA-friendly releases.

This role helps transform transit systems and government agencies by developing computer vision technologies that accelerate transit, enhance street safety, and drive toward a sustainable future.

• Master’s or PHD degree in Computer Science, Electrical Engineering, or a closely related field.
• Background in Machine Learning, Image Processing, Computer Vision, or a similar field.
• Minimum 8 years of industry experience with strong hands-on C++.
• Proven experience on embedded Linux and SoC platforms (preferably NVIDIA Jetson Orin/Xavier).
• Practical experience with CUDA and deploying/optimizing models with TensorRT or similar runtimes.
• Familiarity with camera/video pipelines and OpenCV; ability to reason about end-to-end latency and throughput.

No specific benefits, compensation, or perks mentioned in the job description.

Hayden AI harnesses the power of computer vision to transform how transit systems and government agencies address real-world challenges, focusing on bus lane enforcement, transportation optimization, and innovative mobile perception systems.