Embedded Computer Vision Engineer

🧠 Skills and experience
Core requirements

• Strong foundation in machine learning or computer vision, including how YOLO models work.

• Strong Python skills and working experience with PyTorch and ONNX.

• Hands-on experience with TensorRT, OpenVINO, ONNX Runtime, or a vendor NPU SDK.

• Experience with INT8 quantization, calibration, and debugging accuracy loss after conversion.

• Hands-on edge device experience with NVIDIA Jetson, Raspberry Pi, or NPU development boards.

• Experience flashing, configuring, and debugging deployments on constrained hardware.

• Comfortable with Linux, Docker, and Python dependency management across platforms.

• Strong software engineering practices, including clean code, Git pull requests, and code review.

• Clear written English for documentation and communication with internal and external teams.

• Senior-level experience owning technical integrations end to end with minimal oversight.

• Passion for AI, computer vision, and practical, high-impact engineering.

• Direct experience working with silicon vendors or hardware partners.

• Experience across multiple embedded and edge ecosystems.

• C++ experience, including model deployment on microcontrollers.

• Experience running CI on self-hosted hardware runners.

• Contributions to open-source projects or developer ecosystems.

• Experience collaborating across international teams.

• Willingness to travel to industry events.

Learn more in our Ultralytics Handbook.

💰 Compensation and benefits
We reward excellence and impact - not just tenure or title.

• Competitive salary: Reflecting your experience and contribution.

• Equity packages: We want our success to be yours too.

• On-site collaboration: Work with passionate builders in one of our global hubs.

• Flexible working hours: We value results over routines.

• Generous time off: 24 vacation days, your birthday off, plus local holidays.

• Tech & tools: Work on cutting-edge AI projects that power millions of devices.

• Gear: Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3.

• Learning & development: Dedicated budget for personal and professional growth.

• High impact: Your work will shape the future of vision AI.

Cutting-Edge, Next-Generation AI Computer Vision Technology: Contribute to building cutting-edge computer vision AI models based on the YOLO framework.

Impactful Work: Shape the future of AI-powered solutions that transform industries.

Collaborative Culture: Join a talented and passionate team that values open communication and innovation.

• Applicants must have legal authorization to work in the country of application.

🌍 Join the team powering the future of vision AI
Hello, hola, 你好, こんにちは, नमस्ते, hallo, bonjour! Thanks for stopping by - we know your time is valuable, so here's what makes Ultralytics special.

⚡ Who we are
At Ultralytics, we're on a mission to simplify AI for everyone. As the creators of the world's leading Ultralytics YOLO models, we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications with our open-source tools.

Following our $30M Series A round, we're expanding rapidly across our global hubs in London, Madrid, and Shenzhen. This is an opportunity to join a fast-scaling, high-performance team that's redefining the future of vision AI - where ambition meets impact, and ideas become reality.

We move fast. We build boldly. We execute with purpose. And we do it together.

💼 About the role
As Embedded Computer Vision Engineer, you'll take YOLO models from PyTorch to production on edge hardware. You'll build and maintain export and inference integrations in the Ultralytics package, helping models run accurately and efficiently across CPU, GPU, NPU, and SoC platforms.

You'll own technical integrations with silicon and hardware partners, translating between model requirements and platform constraints. Working across export formats, inference runtimes, and real devices, you'll ensure partners and their customers can deploy YOLO with confidence.

This senior role suits an engineer with strong ML fundamentals, hands-on edge hardware experience, and the communication skills to work directly with internal teams and external partners.

🚀 What you'll do
Export & runtime integration

We're an in-office team that values daily collaboration, energy, and connection. Being together helps us move faster, learn from one another, and celebrate wins as they happen.

🚀 Why join us
We're not just building models - we're building the ecosystem powering the future of vision AI. If you're ready to build, move fast, and make an impact - this is your moment.

⚡ Ready to build the ecosystem powering the future of vision AI?

• Build and maintain export and inference integrations, from model conversion to on-device support.

• Keep integrations working across Python, PyTorch, and vendor SDK releases.

• Review partner contributions and validate integrations on real hardware before release.

Deployment, benchmarking & accuracy

• Set up embedded boards and development kits for YOLO deployment and testing.

• Optimize models for target hardware, balancing latency, memory, and accuracy.

• Debug accuracy loss caused by conversion and INT8 quantization.

• Benchmark and profile YOLO tasks and model generations, publishing results in the documentation.

Partner integrations

• Own technical relationships with hardware and silicon partners, including active AMD work and integrations with Google and Nvidia platforms.

• Lead partner engineering syncs and define clear integration guidelines.

• Translate platform constraints into model, runtime, and deployment requirements.

• Work with partner compiler teams to support new YOLO architectures at launch.

Infrastructure, documentation & support

• Diagnose issues across models, runtimes, drivers, and devices with ML engineers and partner teams.

• Maintain hardware CI on self-hosted and partner-hosted devices, plus deployment Docker images.

• Write integration guides and device benchmark pages.

• Create developer content, live sessions, and demos for industry events.

• Support developers and customers through GitHub, the community forum, and our sales team.

👉 Check out ultralytics.com/careers for more about our culture, values, and teams.

🌎 Where and how you can work
We believe great work happens where passion meets purpose.

• This role is on-site in Madrid.