Staff Software Engineer, Hayden AI

Edge Applications

$187-260k

+ Equity and bonus plan

Linux

Tensorflow

C++

CUDA

Git

Senior and Expert level

San Francisco Bay Area

AI-powered smart traffic enforcement platform

Open for applications

AI-powered smart traffic enforcement platform

101-200 employees

B2BTravelArtificial IntelligenceTransportManufacturingBig dataDeep TechComputer VisionMachine LearningSaaSMobile

Open for applications

$187-260k

+ Equity and bonus plan

Linux

Tensorflow

C++

CUDA

Git

Senior and Expert level

San Francisco Bay Area

101-200 employees

B2BTravelArtificial IntelligenceTransportManufacturingBig dataDeep TechComputer VisionMachine LearningSaaSMobile

Company mission

To harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

Job

Company

Role

Who you are

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
Past experience collaborating with other software engineers in code reviews, design discussions, and production support; ability to operate effectively in a scaling organization
Experience with ML model deployment at the edge (ONNX Runtime, quantization/calibration, DLA offload)

Desirable

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
Strong Git/GitHub practices, CI/CD for device fleets, and containerized Jetson builds

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
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

Our take

Cities around the world are dealing with clogged bus lanes, blocked stops, and traffic violations that slow down public transit and put people at risk. It's a huge problem that most cities face, but one that's often hard to monitor or enforce effectively.

Hayden AI is tackling this problem with its smart, bus-mounted cameras powered by AI. They automatically detect when vehicles block bus lanes or stops, helping cities gather real-time data and tacke action to imprvoe safety and traffic flow. Already in use in cities like New York, LA, and now Barcelona and Braga, it's a neat idea and one that's keeping buses moving and riders safe.

Its work is more than just ticketing, it's about making cities smarter, greener, and safer for everyone and its been making big moves. It just wrapped up its pilot in Portugal that revealed nearly 8,000 violations in just three months, and launched the largest automated enforcement project in Europe in Barcelona. With over $193M raised, the company is certainly growing fast and turning head in the govtech space.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 4 rounds)

Aug 2022

$4m

LATE VC

Sep 2020

$35m

SERIES B

Total funding: $53m

Company HQ

China Basin, San Francisco, CA

Leadership

Vaibhav Ghadiok

(Co-Founder & CTO)

Previously a Robotics Engineer at Nixie Labs, Head of Mapping at NAUTO, and Navigation & Perception Lead at Visible Sensors.

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