Software Engineer, Frontier AI Infrastructure
Scale AI, San Francisco, CA +3
- Pay
- $184K–$259K / year
- Work type
- Not stated
- Level
- Not stated
- Area
- ML / AI engineering, Inference & ML systems
- Posted
- Feb 15, 2024
Check my fit
See how your résumé lines up with this role: where you match, what's missing, and lines worth rewording.
About the role
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.
- Participate actively in customer engagements, working closely with stakeholders to understand 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.
- Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment.
- Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements.
- 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.
Similar roles at other companies
Pay not posted
Posted Aug 18, 2026
Software Engineer - Full Stack
FriendliAISan Francisco
Pay not posted
Posted Mar 27, 2026
AI Engineer - Senior
Accenture Federal ServicesChantilly, VA
$94K–$188K / yr
Posted 24 days ago
Software Development Engineer II, Frontier AI - Data Tranformation
Amazon.com Services LLCBellevue, Washington
Pay not posted
Posted 12 days ago
Listed on Scale AI's Greenhouse job board; checked 9 h ago. First seen by us 2 days ago. Being listed doesn't mean the team is actively interviewing.