Solutions Engineer

1 month ago

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 with Account Executives and Customer Success Managers.
Build Python prototypes, benchmarks, integrations, proof-of-concepts, and production-ready workflows using YOLO, OpenCV, PyTorch, and Docker.
Deploy and diagnose solutions across Linux, macOS, Windows, cloud, and edge environments.
Deliver technical demos, workshops, architecture reviews, and proof-of-concepts for technical and executive audiences.
Manage technical stakeholders from evaluation through production and own customer outcomes throughout the lifecycle.
Turn customer solutions into reusable examples, deployment guides, integrations, and documentation.
Share product feedback and engage developers through the Ultralytics community and GitHub organization.

Strong Python skills and practical experience with YOLO, OpenCV, PyTorch, and computer vision.
Experience training, optimizing, evaluating, and deploying machine learning models.
Experience 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 proof-of-concepts.
Strong communication skills with technical and executive audiences.
Ability to take independent ownership and deliver results in a high-performance startup environment.
Preferred experience with Kubernetes, CUDA, TensorRT, ONNX, Jetson, or other edge accelerators.
Preferred familiarity with MLOps, model monitoring, observability, AWS, Azure, GCP, serverless systems, managed inference platforms, and OpenAI or Anthropic APIs.
Open-source contributions, developer-community support, and knowledge of Ultralytics YOLO workflows are preferred.
Applicants must have legal authorization to work in the country of application.

Full-time, on-site role based in New York, with on-site collaboration in the NYC or Austin global hubs.
Flexible working hours.
24 vacation days, a birthday day off, and local holidays.
Brand-new Apple MacBook Air or Pro, Apple Studio Display, and AirPods Pro 3.
Dedicated budget for personal and professional development.
Opportunity to work on production computer vision projects powering millions of devices.

51-200 employees