Staff Software Engineer, Public Sector
Scale AI · San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC · San Francisco, CA
CHECKED 15H AGO
Infrastructureonsitestaff
At a glance
Highlights
- Build core product blocks for agentic capabilities across multiple domains.
- Ingest federal datasets to power real-time decisions in contested environments.
- Orchestrate fleets of async agents with guardrails and explainability.
What they offer
- Base salary
- Equity
- Benefits
Ideal candidate
A staff-level full-stack builder who thrives in federal missions, mentors engineers, and translates complex trade-offs for senior stakeholders to ship reliable agentic systems.
Requirements
- Full-stack development across front-end, back-end and infrastructure
- Familiarity with cloud platforms and cloud-native application deployment
- Knowledge of ETL processes and building data pipelines for diverse sources
- Familiarity integrating LLMs and building agentic workflows including RAG
- Strong analytical and problem-solving skills for complex challenges
- Excellent collaboration and communication skills with cross-functional teams
- Adaptability and learning agility with evolving requirements and new tech
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