Builds and owns distributed training infrastructure, experiment orchestration, data pipelines, and performance optimizations for large-scale AI research on GPU clusters. Requires deep systems expertise, Python/C++/PyTorch proficiency, and ML understanding to accelerate frontier research.
Owns end-to-end technical lifecycle of mission-critical federal deployments, ensures compliance with security controls, contributes to core codebase, and shapes product direction from field learnings. Requires 2+ years software engineering experience and federal compliance expertise.
Owns production reliability (SLOs, monitoring, incident response) and platform engineering (CI/CD, infrastructure as code) for AI developer tools used by hundreds of thousands. Requires deep production systems experience, strong coding skills, and cloud proficiency.
Builds and owns distributed training infrastructure, experiment orchestration, data pipelines, and performance optimizations for large-scale AI research on GPU clusters. Requires deep systems expertise, Python/C++/PyTorch proficiency, and ML understanding to accelerate frontier research.
Owns end-to-end technical lifecycle of mission-critical federal deployments, ensures compliance with security controls, contributes to core codebase, and shapes product direction from field learnings. Requires 2+ years software engineering experience and federal compliance expertise.
Owns production reliability (SLOs, monitoring, incident response) and platform engineering (CI/CD, infrastructure as code) for AI developer tools used by hundreds of thousands. Requires deep production systems experience, strong coding skills, and cloud proficiency.