Senior Software Engineer, Edge Applications
Company: Hayden AI
Location: San Francisco
Posted on: April 1, 2026
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Job Description:
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 As a
member of the Hayden Software Engineering org you will help build
our next generation product for Automated Bus Lane Enforcement.
This team is developing, integrating, and deploying edge-based
perception models. This is a C++ software engineering generalist
role. You will be delivering high-quality, modern C++ (C++17/20)
code that runs on embedded Linux edge devices, primarily NVIDIA
Embedded Platform. You will build and optimize real-time CV/ML
pipelines on device, integrating CUDA/TensorRT and efficient
camera/video I/O. Expect to collaborate with Product Management to
translate customer needs to software solutions. Hayden is a
startup. You will be working in an ambiguous, fast-paced
environment. As Hayden begins an organizational scale-up phase, we
need to build a rock-solid foundation. That means delivering
well-designed and well-tested code that can be shared across the
organization. Responsibilities Deliver bullet-proof, rigorously
tested C++ code for embedded Linux edge devices (NVIDIA Platform).
Iterate on our 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. Qualifications Bachelor's or Master's degree in Computer
Science, Electrical Engineering, or a closely related field.
Background in Machine Learning, Image Processing, Computer Vision,
or a similar field. Minimum 5 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.
Past experience collaborating with other software engineers in code
reviews, design discussions, and production support; ability to
operate effectively in a scaling organization. Ways to stand out
In-depth embedded systems development experience, including
power/thermal budgeting and real-time constraints on mobile SoCs.
Hands-on CUDA/OpenCL, stream concurrency, and custom kernel or
plugin development for image/video processing. Experience with ML
model deployment at the edge (ONNX Runtime,
quantization/calibration, DLA offload). Strong Git/GitHub
practices, CI/CD for device fleets, and containerized Jetson
builds.
Keywords: Hayden AI, Santa Clara , Senior Software Engineer, Edge Applications, Engineering , San Francisco, California
