Solutions Engineer

Ultralytics • Austin, TX

8d • Onsite

About The Position

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. 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.

Requirements

• Strong Python and practical experience with YOLO, OpenCV, PyTorch, and computer vision.
• Experience training, optimizing, evaluating, and deploying machine learning models.
• Comfortable with Docker, Git, REST APIs, Linux, cloud platforms, and edge workflows.
• Experience deploying across Linux, macOS, and Windows environments.
• Proven ability to deliver technical demos, workshops, architecture reviews, and POCs.
• Strong communication skills with both technical and executive audiences.
• Independent ownership, urgency, resilience, and results in a high-performance startup environment.
• Passion for AI, open source, and helping customers achieve real outcomes.
• Applicants must have legal authorization to work in the country of application.

Nice To Haves

• Kubernetes, CUDA, TensorRT, ONNX, Jetson, or other edge accelerators.
• Experience with MLOps, model monitoring, CI/CD, or observability.
• Familiarity with AWS, Azure, GCP, serverless systems, or managed inference platforms.
• Experience integrating OpenAI or Anthropic APIs into customer tools.
• Open-source contributions or experience supporting developer communities.
• Knowledge of Ultralytics YOLO workflows and production computer vision solutions.

Responsibilities

• 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 GitHub organization.

Benefits

• Competitive compensation packages
• Flexible working hours
• Generous time off: 24 vacation days, your birthday off, plus local holidays.
• Work on cutting-edge AI projects that power millions of devices.
• Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3.
• Dedicated budget for personal and professional growth.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed