Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.
Our Field Test Engineers ensure the quality and reliability of Scale’s technology as it’s deployed in high-impact, mission-critical environments. You’ll lead the development and execution of test strategies across functional, integration, regression, performance, and security layers — working closely with developers, product managers, and federal customers to ensure that the software we ship is stable, scalable, and secure. You'll be responsible for developing automated test suites, maintaining test infrastructure, identifying and tracking bugs, and analyzing test results to provide actionable feedback across the engineering lifecycle.
Field Test Engineers are embedded collaborators with Product, Engineering, and Operations teams. You’ll translate complex system requirements into comprehensive test plans, help maintain test environments (including containerized and cloud-based systems), and uphold security compliance standards in line with industry and federal guidelines. This role requires strong communication, hands-on technical ability, and a commitment to delivering dependable software for high-stakes AI deployments.
The ideal person has a background in test engineering and software development, experience with automation and CI/CD pipelines, and enjoys solving problems across the full stack. If you're motivated to work on real-world systems with public sector impact, we invite you to apply.
You will:
Ideally you'd have:
Nice to haves:
Get notifed when new similar jobs are uploaded