Senior Engineering Manager, RL Post-Training Frameworks

Nvidia Corporation in; Santa Clara (CA); Hybrid; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Manager, Software Engineering to lead the RL Post‑Training Frameworks effort across RL frameworks such as VeRL, Miles, Slime, SkyRL, TorchTitan, and related stacks, aligning strategy with product and partner signals.

You will build and coach distributed teams, set priorities, drive upstream collaborations, and deliver open‑source contributions that improve RL workloads on NVIDIA platforms.

Qualifications

• MS or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)
• 10+ years of software engineering experience in distributed systems, AI frameworks, ML infrastructure, HPC, or systems software, with 4+ years as an engineering manager for software teams
• Strong technical background in distributed AI systems, including the ability to reason across training, inference, orchestration, and end‑to‑end performance
• Experience defining domain‑level technical strategy, making build‑vs‑buy or upstream‑vs‑internal investment decisions, and creating multi‑team execution plans
• Ability to drive engineering work across organizational boundaries, influence without direct authority, and communicate tradeoffs clearly to senior leaders and executives
• Experience hiring and leading engineering teams, developing technical leaders or new managers, and creating staffing plans for evolving technical domains
• Experience establishing workflows, success criteria, metrics, or decision gates that improve engineering execution across teams
• Background collaborating with open‑source communities, research teams, external partners, or customer‑facing teams

Responsibilities

• Own NVIDIA's RL post‑training frameworks strategy: investments, upstream collaborations, and prioritization based on impact and feasibility
• Evaluate architecture and performance claims across training, inference, rollout, orchestration, and the NVIDIA platform
• Help teams converge on integrations to improve RL framework quality and user value with measurable execution plans
• Build the team: recruiting and developing managers and senior ICs, define an effective US/APAC operating model, review capacity against commitments

Skills

Distributed systems

AI frameworks

Engineering management

Strategic planning

Executive communication

Open-source collaboration

Hiring and staffing

Education

MS/PhD in Computer Science or Computer Engineering or equivalent

Tools

Ray

Monarch

Kubernetes

CUDA

Job description

NVIDIA is seeking a Senior Manager, Software Engineering to lead the RL Post‑Training Frameworks effort across RL frameworks such as VeRL, Miles, Slime, SkyRL, TorchTitan, and related stacks, aligning strategy with product and partner signals.

You will build and coach distributed teams, set priorities, drive upstream collaborations, and deliver open‑source contributions that improve RL workloads on NVIDIA platforms.