Ultralytics

Embedded Computer Vision Engineer

Madrid FullTime Remote
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Job Description

About Ultralytics: At Ultralytics https://ultralytics.com/, we commit to relentless innovation in the AI space and seek team members https://www.ultralytics.com/about who resonate with our ambition to produce the world's best YOLO AI models https://ultralytics.com/yolo. If you're obsessed with AI, eager to make an impact on the world, and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team. 🌍 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 https://www.ultralytics.com/, we're on a mission to simplify AI for everyone. As the creators of the world's leading Ultralytics YOLO models https://docs.ultralytics.com/models/, we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications with our open-source tools https://github.com/ultralytics. Following our $30M Series A round https://www.ultralytics.com/news/ultralytics-raises-30m-series-a, 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 https://github.com/ultralytics/ultralytics, 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 - Build and maintain export https://docs.ultralytics.com/modes/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 https://docs.ultralytics.com/tasks/ and model generations, publishing results in the documentation https://docs.ultralytics.com/. 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 https://docs.ultralytics.com/guides/ and device benchmark pages. - Create developer content, live sessions, and demos for industry events. - Support developers and customers through GitHub https://github.com/ultralytics, the community forum https://community.ultralytics.com/, and our sales team. 🧠 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. Nice to have - 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. 🌟 Cultural fit

At Ultralytics, we set bold goals and execute with speed, precision, and teamwork. We're driven by hard work, ambition, and resilience — building fast, learning constantly, and delivering measurable impact. You'll thrive here if you: - Take ownership and deliver results with focus and accountability. - Combine strategic thinking with hands-on execution. - Value excellence, grit, and creativity in equal measure. - See collaboration as the foundation for meaningful progress. Our culture is built around our core values: - Relentless progress: Constant evolution and improvement. - Strive for excellence: Perseverance and attention to detail. - Actions, not words: Focus on delivering meaningful results. - Act with urgency: Seize fleeting opportunities. - Open access to all: Transparent communication and collaboration. Learn more in our Ultralytics Handbook https://handbook.ultralytics.com/mission-vision-values/#values. 💰 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. 👉 Check out ultralytics.com/careers http://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 https://maps.app.goo.gl/31jgUEqTkaDBhAQx6. - Applicants must have legal authorization to work in the country of application. 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? Apply now. https://www.ultralytics.com/careers What we offer: 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. Ultralytics Handbook Comprehensive guide to our company's mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with Ultralytics' core principles. Link: https://handbook.ultralytics.com/ Ultralytics is an equal opportunity employer committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status.

Frequently Asked Questions

What does the Embedded Computer Vision Engineer role at Ultralytics involve?

The Embedded Computer Vision Engineer position at Ultralytics in Madrid is a fulltime role. About Ultralytics: At Ultralytics https://ultralytics.com/, we commit to relentless innovation in the AI space and seek team members https://www.ultralytics.com/about who resonate with our ambition to produce the world's best YOLO AI models https://ultralytics.com/yolo. If you're obsessed with AI, eager to make an impact on the world, and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team. 🌍 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 https://www.ultralytics.com/, we're on a mission to simplify AI for everyone.

What skills are required for Embedded Computer Vision Engineer at Ultralytics?

Key skills for this role include: Python, C++, Docker, RDS, Machine Learning, Computer Vision, Pytorch, Git, API, Linux.

What is the salary for Embedded Computer Vision Engineer at Ultralytics?

The salary for this position is not publicly listed. You can negotiate during the interview process. Check Glassdoor or Levels.fyi for estimates.

Is the Embedded Computer Vision Engineer position at Ultralytics remote or on-site?

This position is Remote. You can work from anywhere, subject to the employer's remote work policy.

How do I apply for Embedded Computer Vision Engineer at Ultralytics?

You can apply for this position directly through the employer's careers page. Click the 'Apply Now' button on this page to be redirected to the original listing. Make sure your resume is ATS-optimized. Use SpotChange's free ATS test to check.

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About This Role

Embedded Computer Vision Engineer at Ultralytics is a fulltime ai & machine learning position in Madrid. Key skills include Python, C++, Docker, RDS, Machine Learning, Computer Vision, Pytorch, Git. Education: Master's Degree preferred. Experience: 3+ years.

This role is classified as remote and is suitable for mid level-level professionals. Ghost Score 15/100 (Probably Active) indicates this listing is probably active with recent employer engagement.

To apply, visit the official application page through the Apply Now button above. SpotChange Jobs provides AI-powered career tools including resume optimization, ATS testing, interview preparation, and salary negotiation assistance.