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← Scale AI

Systems Engineering Integration & Test Lead, Public Sector

Scale AI · Washington, DC

CHECKED 14H AGO

Infrastructureonsitelead$166k–$249k
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At a glance

Highlights

  • Own technical execution of software demos for classified government customers.
  • Turn mission needs and CONOPS into demo-ready capability on tight timelines.
  • Lead integration, test, and live demo events in secure SCIF environments.

What they offer

  • base salary
  • equity based compensation
  • comprehensive health, dental and vision coverage
  • retirement benefits
  • learning and development stipend
  • generous PTO
  • commuter stipend

Ideal candidate

A mission-driven systems leader who thrives as the bridge between customers and engineers, energized by turning urgent needs into working demos that succeed live.

Requirements

  • Active TS/SCI clearance
  • 10+ years of systems engineering experience, with 5+ years in integration and test of software-intensive systems
  • 3+ years in a technical lead role on DoD or IC programs
  • Hands-on experience delivering software demos, prototypes, or rapid capability efforts to government customers
  • Strong command of requirements management, verification and validation, and interface control
  • Experience working in classified environments (SCIFs, air-gapped networks, cross-domain constraints)
  • Comfortable presenting to senior government and military stakeholders
  • Knowledge of risk management framework (RMF) / authority to operate (ATO) processes

Lab profile

About Scale AI

AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.

What they build

  • Training, fine-tuning, and evaluation data for frontier models
  • Multimodal and coding data for audio, image, video and world models
  • Custom AI applications for enterprise and global public sector

Known for

  • Leading data partner for frontier model developers
  • Trusted across enterprise, defense and public sector
  • Depth in multimodal, coding and physical AI
  • End-to-end capability from strategy to delivery and evaluation

Key facts

  • Founded in 2016
  • Headquartered in San Francisco, California
  • Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta
More about Scale AI →
Apply on the lab’s site ↗