Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructure to join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues.

You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing. You will: Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure. Own services or systems and define their long-term health goals, while also improving the health of surrounding components Re-architect the stack to run in compliant or restrictive environments.

This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product. You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream.

Requirements

and deliver innovative solutions. Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings. Must have: At least an active secret clearance and the ability willingness to up level to TS/SCI with CI Poly.

This is a requirement and candidates will not be considered who do not hold at least a secret clearance Ideally you'd have: Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing delivering software to air-gapped isolated environments is a plus. , Kubernetes) is desired.

, AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment.

Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles. Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers.

Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.

Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering. Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office.

Requirements(E.G, Cloud SRG, FedRAMP, STIG Benchmarks, Etc)

. Experience developing software technical solutions that meet strict security regulatory compliance

Compensation

packages at Scale for eligible roles include base salary, equity, and

Benefits

. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience,

Qualifications

, interview performance, and relevant education or traini