---
title: 'Embedded Computer Vision Engineer at Ultralytics'
canonical: 'https://feeny.ai/job/embedded-computer-vision-engineer-ultralytics-madrid-j5tnfb3da84b'
type: 'job'
last_seen: '2026-10-18'
---

# Embedded Computer Vision Engineer at Ultralytics

- **Company:** Ultralytics
- **Location:** Madrid, Spain
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-07
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/ultralytics/b45ca999-323e-468e-b3d7-d80475959cb9

## 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.

## About Ultralytics

## Company Overview
- **One-liner**: Ultralytics provides an end-to-end computer vision platform built around the widely adopted YOLO (You Only Look Once) family of open-source AI models.
- **Entity Type**: Private (startup)
- **Headquarters**: London, United Kingdom (with offices in Shenzhen, Madrid, and New York)
- **Founded**: Not publicly available (YOLO models first released by Ultralytics in 2020)
- **Founders**: Glenn Jocher

## Core Business
- **Primary industry/industries**: Artificial Intelligence, Computer Vision, SaaS
- **Target customers**: Developers, startups, SMBs, and enterprise teams deploying vision AI (B2B / B2D)
- **Mission or purpose statement**: "To push the boundaries of AI through relentless execution, creating the world’s best open-source solutions." [ultralytics.com/about]

## Products & Services
- **Ultralytics YOLO (You Only Look Once)**: The industry-standard open-source object detection and vision AI model family (YOLOv5, YOLOv8, YOLO11, YOLO26) used by millions of developers worldwide. [ultralytics.com]
- **Ultralytics Platform**: A unified SaaS platform for annotation, training, and deployment of vision AI models. Includes cloud-accelerated training (22 GPU options), smart annotation tools (bounding boxes, segmentation, keypoints), and deployment to 43 global regions with auto-scaling. Supports 19 export formats (ONNX, TensorRT, CoreML, TFLite, etc.). [ultralytics.com]
- **Ultralytics Solutions**: Industry-specific AI applications for healthcare, robotics, autonomous navigation, and more. [handbook.ultralytics.com/introduction]

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Total Funding – Not publicly available (no disclosed rounds); team headcount ~58 as of mid-2025 (based on team page tags) [ultralytics.com/about]
- **Notable Investors/Partners**: Not publicly available; partners inferred from ecosystem (NVIDIA GPU support, cloud providers)
- **Growth Signals**: "Fast-growing startup" with active hiring across product, sales, and engineering; new office in New York; community of 1M+ developers using YOLO; tools powering 1B+ daily uses in production. [ultralytics.com/careers]

## Competitive Advantages
- **Open-source leadership**: YOLO models are the de facto standard for real-time object detection, with massive community adoption and trust.
- **End-to-end platform**: Combines annotation, training, and deployment in one product, reducing friction for developers.
- **Developer-first design**: Python SDK, no-code interface, and broad export format support make integration easy across edge, mobile, and cloud.
- **Global infrastructure**: Deploy models across 43 regions with auto-scaling and real-time monitoring.
- **First-mover in open vision AI**: Continuous model releases (YOLOv5 through YOLO26) keep them ahead of competitors.

## Strategic Focus
- **Platform monetization**: Converting open-source users into paying SaaS customers for training and deployment.
- **Enterprise expansion**: Dedicated Customer Success team, custom SLAs, and enterprise terms to win large deployments.
- **Edge and mobile deployment**: Optimizing models for CoreML, TensorFlow Lite, QNN to capture IoT and embedded markets.
- **LLM integration**: Hiring LLM Engineers to combine language AI with vision models for multimodal solutions. [ultralytics.com/careers]
- **Global office presence**: Scaling teams in London, Madrid, Shenzhen, and New York to support international growth.

## Why Work Here
- **Hybrid culture**: "High-Resolution Hybrid" with Anchor Days (Tue/Wed/Thu) in-office for those within commutable distance; flex on Mon/Fri for deep work. [handbook.ultralytics.com/introduction]
- **Offices in 4 cities**: London, Madrid, Shenzhen, New York – dog-friendly workplaces.
- **Perks**: Competitive salaries, latest Apple MacBook Air and AirPods Pro, 24 days PTO plus birthday off and local holidays, true ownership of projects. [ultralytics.com/careers]
- **Engineering culture**: AI-first mindset (everyone uses AI tools), high autonomy, open-source contributions, and real-world impact (tools used in robotics, healthcare, etc.).
- **Career tracks**: Clear Individual Contributor and Management paths with equivalent compensation; fast promotion cycles tied to Anchor Day participation. [handbook.ultralytics.com/people/careers]

## Sources
1. [ultralytics.com](https://www.ultralytics.com/) – Homepage: platform overview and YOLO models
2. [ultralytics.com/about](https://www.ultralytics.com/about) – Team, values, headcount, founder story
3. [ultralytics.com/careers](https://www.ultralytics.com/careers) – Open roles, perks, culture
4. [handbook.ultralytics.com/introduction](https://handbook.ultralytics.com/introduction) – Work culture, hybrid policy, AI-first mindset
5. [handbook.ultralytics.com/people/careers](https://handbook.ultralytics.com/people/careers) – Career progression framework

## Other roles at Ultralytics

- [Founding Engineer](https://feeny.ai/job/founding-engineer-ultralytics-new-york-nnqxgcsnrge4) — New York, NY
- [Partner Solutions Engineer](https://feeny.ai/job/partner-solutions-engineer-ultralytics-london-6c9pwq43s41p) — London, United Kingdom
- [Talent Acquisition Partner](https://feeny.ai/job/talent-acquisition-partner-ultralytics-london-nh9tgccskewt) — London, United Kingdom
- [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-ultralytics-new-york-6ddtmf5xh31k) — New York, NY
- [Solutions Engineer](https://feeny.ai/job/solutions-engineer-ultralytics-london-wyrmvh77khk2) — London, United Kingdom
- [Enterprise Customer Success Manager](https://feeny.ai/job/enterprise-customer-success-manager-ultralytics-new-york-rypne9deqvnt) — New York, NY
- [Legal Counsel](https://feeny.ai/job/legal-counsel-ultralytics-london-bhdgsnjpn1hq) — London, United Kingdom
- [Senior Quality Assurance Engineer](https://feeny.ai/job/senior-quality-assurance-engineer-ultralytics-shenzhen-8qxcnp508h2t) — Shenzhen, China
- [Solutions Engineer](https://feeny.ai/job/solutions-engineer-ultralytics-new-york-qqqcedgwn1pv) — New York, NY
- [Senior Full Stack Engineer](https://feeny.ai/job/senior-full-stack-engineer-ultralytics-shenzhen-tjrw4r38mft3) — Shenzhen, China