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Forward Deployed Software Engineer, Public Sector

Scale AI· Public Sector Engineering
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Hybrid (Austin, TX; Colorado Springs, CO; Honolulu, HI; Omaha, NE; St. Louis, MO; Washington, DC)$138k - $292.6kfull-timePosted 11mo ago

About the role

Hybrid, customer-facing forward-deployed software engineer role embedding with U.S. government customers to design, build, deploy, and maintain AI-enabled software that supports critical missions.

Responsibilities

  • Embed with government customers to understand their mission, scope the problem, and turn it into working software.
  • Own delivery end-to-end: design, build, deploy, and maintain solutions at customer sites, from prototype to stable production.
  • Build robust backend systems and data integrations that connect customer environments to Scale's platform and back.
  • Partner with product and engineering to feed field signals back into the roadmap, enabling reusable capabilities.
  • Serve as the technical point of contact for customer stakeholders, guiding adoption and maximizing mission impact.

Qualifications

  • 5+ years of software engineering experience, ideally in customer-facing, forward-deployed, or government contexts.
  • Strong production coding in Python and TypeScript (or comparable modern languages).
  • Comfort across the stack, including cloud platforms (AWS, Azure, or GCP), containers, Linux, and networking fundamentals.
  • Ability to operate independently in ambiguous, fast-moving environments and make sound trade-offs under pressure.
  • An active TS/SCI clearance, or eligibility to obtain one.

Skills

Required:PythonTypeScriptCloud platformsContainers and LinuxNetworking fundamentalsSecurity clearance

Benefits

  • comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • commuter stipend (may be eligible)
Last updated Sep 16, 2026. Interested? Apply on the company site.
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About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

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