Solutions Engineer: Vision AI & YOLO Deployments

Ultralytics Inc.; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

On-site collaboration (NYC/Austin)

Flexible working hours

Generous vacation days

Tech & tools

Hardware provided

Job summary

Ultralytics is seeking a Solutions Engineer in Austin to transform complex computer vision challenges into production-ready YOLO-based solutions. You’ll lead technical discovery, design architectures, and guide customers from initial conversations to deployed models across cloud and edge environments.

You’ll collaborate with Sales, Customer Success, Product, and Engineering while training teams and delivering demos, workshops, and POCs.

Qualifications

• Strong Python and practical experience with YOLO, OpenCV, PyTorch, and computer vision.
• Experience training, optimizing, evaluating, and deploying machine learning models.
• Familiarity with Docker, Git, REST APIs, Linux and cloud platforms.
• Experience deploying across Linux, macOS, and Windows environments.

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 production-ready workflows.

Skills

Python

YOLO

OpenCV

PyTorch

Cloud platforms

Edge deployment

Docker

Git

REST APIs

Linux

Tools

Docker

Git

REST APIs

Linux

Cloud platforms

Edge systems

Job description

Ultralytics is seeking a Solutions Engineer in Austin to transform complex computer vision challenges into production-ready YOLO-based solutions. You’ll lead technical discovery, design architectures, and guide customers from initial conversations to deployed models across cloud and edge environments.

You’ll collaborate with Sales, Customer Success, Product, and Engineering while training teams and delivering demos, workshops, and POCs.