Roblox
Principal Model Optimization Engineer
$295K–$345K
San Mateo, CA, United States · Principal · Full-time · Posted May 5, 2026
- Experience
- 6+ years of professional experience.
- Education
- Bachelor’s degree in Computer Science, Computer Engineering or a related field, or equivalent experience.
- Visa sponsorship
- For US-based roles, the company may not be able to employ candidates with work authorization related to certain U.S. visa categories or support future H-1B sponsorship at this time.
About the job
Sets technical direction for Roblox’s ML platform, improving infrastructure, GPU utilization, reliability, and the experience of teams building and running machine-learning workloads.
What you'll do
- Design widely adopted platform capabilities and GPU/compute management, including scheduling, quotas, and capacity planning.
- Define and improve platform metrics; investigate slow or failing jobs and deliver lasting fixes.
- Partner across engineering and data teams, lead technical work, and mentor senior engineers.
What they ask for
- Track record building ML infrastructure end to end.
- Experience designing widely adopted SDKs, APIs, or developer tools.
- Hands-on experience running GPU workloads at scale on Kubernetes, including scheduling, quotas, multi-cluster dispatch, autoscaling, and debugging GPU and node failures.
- Depth in training and inference performance, plus experience leading cross-team technical work and communicating clearly.
Pay
$295,250—$345,040 USD annual base salary (San Mateo, CA headquarters roles).
Tools
Kubeflow, Airflow, Ray, Kubernetes, NCCL
AI focus
Improves ML infrastructure for training and inference, including pipelines, orchestration, GPU scheduling, and performance.
Model-written summary · the original posting is authoritative