Description du poste
About Ultralytics:
At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. 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, 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.
Following our $30M Series A round, we're expanding rapidly across our global hubs. 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 a Partner Solutions Engineer, you'll work side by side with our Head of Partnerships to help partners build, integrate, and deploy computer vision solutions with Ultralytics YOLO. You'll lead technical discovery, scope partner projects, and turn requirements into practical solution architectures, demos, and deployments.
This is a hands-on, client-facing role with no people-management responsibilities. You'll collaborate with partners and internal engineering teams across model training, export, quantization, and cross-platform deployment. You'll thrive here if you combine deep technical curiosity with clear communication, sound judgment, and a bias for getting working solutions into users' hands.
🚀 What you'll do
Partner solutions & delivery
•
Lead partner-facing technical calls, discovery, and project scoping.
•
Design solution architectures for YOLO training, integration, export, and deployment.
•
Build technical demos and rapid prototypes using Python, OpenCV, PyTorch, and Docker.
•
Support model export and INT8 quantization across ONNX, TensorRT, OpenVINO, QNN, and LiteRT.
•
Help partners deploy across Linux, macOS, and Windows, and document clear implementation guidance.
Technical collaboration
•
Work side by side with the Head of Partnerships to advance partner integrations and unblock technical work.
•
Review partner and community GitHub pull requests and share actionable feedback.
•
Use OpenAI and Anthropic APIs to prototype client tools and accelerate partner workflows.
•
Share partner needs and technical findings with Product and Engineering teams.
Partner enablement
•
Create technical documentation, demos, and integration guidance using the Ultralytics docs and guides.
•
Represent Ultralytics in partner meetings, technical events, and occasional travel.
🧠 Skills and experience
Core requirements
•
Experience in computer vision and AI, with practical knowledge of Python, YOLO, OpenCV, and PyTorch.
•
Experience training, exporting, and deploying models; familiarity with ONNX, TensorRT, OpenVINO, QNN, LiteRT, and INT8 quantization.
•
Proven ability to lead partner-facing technical calls, scope work, and deliver demos or solution architectures.
•
Experience reviewing GitHub pull requests and writing clear technical documentation.
•
Comfortable working across Linux, macOS, and Windows, with Docker and common development workflows.
•
Strong spoken and written English; able to travel for partner meetings and events.
•
Resourceful, collaborative, and comfortable taking ownership in a high-performance startup.
Nice to have
•
Deep knowledge of vendor SDKs such as CUDA, ROCm, Vela, or Vitis AI.
•
Experience with edge CPUs, GPUs, and NPUs, including Jetson, Raspberry Pi, Snapdragon, or Arm platforms.
•
Linux, Docker, and CI experience on ARM64 and x86; mobile or web deployment on Android, iOS, or WebGPU.
•
C++ skills, performance profiling, or experience with PyTorch and OpenCV optimization.
•
Familiarity with cloud ML platforms such as SageMaker, Vertex AI, or Azure ML, and video pipelines like DeepStream or Triton.
•
Experience creating talks, blogs, or demo videos; additional Spanish, Italian, or Mandarin language skills.
🌟 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 technical depth with a client-first, hands-on approach.
•
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.
💰 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 wor
GetGlobalJob n'est ni l'employeur ni un intermédiaire de recrutement. La candidature se fait sur le site d'origine : vérifiez toujours l'annonce avant d'envoyer vos données et ne payez jamais pour un emploi.