Solutions Engineer

As a Solutions Engineer, you'll turn complex computer vision problems into production systems built on YOLO. You'll lead technical discovery, design architectures, build benchmarks and proof‑of‑concepts, and guide customers from their first conversation to deployed models. You'll work across Sales, Customer Success, Product, and Engineering while partnering directly with customers in manufacturing, retail, security, robotics, and beyond. This is a hands‑on role for an engineer who enjoys writing Python, training and optimizing models, deploying across cloud and edge, and owning outcomes throughout the customer lifecycle.

If you thrive on ambiguous problems, direct customer contact, and turning technical possibilities into measurable results, you'll fit right in. What you'll do Technical discovery and solution design

• Own technical discovery, translate customer needs into architectures, and define measurable success criteria.
• Evaluate customer data, recommend models, and design training, inference, and deployment strategies.
• Lead technical qualification and solution design alongside Account Executives and Customer Success Managers.

• Build Python prototypes with YOLO, OpenCV, PyTorch, and Docker.
• Create benchmarks, integrations, and production‑ready training and deployment workflows.
• Deploy solutions across Linux, macOS, Windows, cloud, and edge environments.
• Diagnose performance, data quality, inference, and hardware acceleration challenges.
• Use the Ultralytics documentation and YOLO guides to deliver reliable customer outcomes.

• Deliver technical demos, workshops, architecture reviews, and proof‑of‑concepts that move opportunities forward.
• Explain machine learning clearly to engineers, operators, executives, and other non‑technical audiences.
• Build trusted relationships and manage technical stakeholders from evaluation through production.

• Turn customer solutions into reusable examples, deployment guides, integrations, and documentation.
• Share feedback with Product and Engineering to improve the YOLO ecosystem.
• Engage developers through the Ultralytics community and Git Hub organization.

• 3 months:
  Ramped on the YOLO stack and customers, co‑running discovery, and delivering your first demos and project kickoffs.
• 6 months:
  Owning technical discovery and POCs end to end, unblocking live deals or at‑risk accounts, and earning trust from the AEs and CSMs you support.
• 9 months:
  Converting technical evaluations into wins or saves, shipping reusable assets, and providing actionable feedback to the wider organization.
• 12 months:
  Becoming the technical partner AEs and CSMs want on their biggest accounts, with POCs that convert and referenceable customer deployments., Real impact:
  Your solutions will power vision AI in production across systems used by millions of devices.
• Demand you don't have to manufacture: YOLO is the world's most popular computer vision model, and customers already come to us looking to do more with it.
• Build at the source:
  Work directly on top of the YOLO ecosystem with clear lines to Product and Engineering.
• A team that ships:
  Join a fast‑moving, high‑standard team that values results over routine.
• Customer ownership:
  Stay involved beyond the demo and see your technical work reach production.

This isn't a slideware Solutions Engineer role. You won't hand off after the demo or hide behind a deck – you'll build the solution, get it deployed, and own the technical outcome throughout the client lifecycle.

At Ultralytics, we set bold goals and execute with speed, precision, and teamwork. We're driven by hard work, ambition, and resilience – building fast,…