Senior Engineering Manager, RL Post-Training Frameworks

NVIDIA; United States; On-site; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Software Engineering Manager to set strategy and build a team for RL post-training frameworks across VeRL, Miles, Slime, SkyRL, TorchTitan, and related stacks. You will influence investments, partner upstream, and drive multi-team execution with measurable impact, spanning training, inference, rollout, and orchestration on NVIDIA platforms.

You will also shape an effective US/APAC operating model, recruit and coach managers, and ensure high-quality upstream work that

Qualifications

• MS or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience).
• 10+ years of software engineering in distributed systems, AI frameworks, ML infrastructure, HPC, or systems software, with 4+ years as an engineering manager.
• Experience defining domain-level technical strategy and multi-team execution plans.
• Ability to drive work across organizational boundaries and communicate tradeoffs to senior leaders.

Responsibilities

• Define RL post-training frameworks strategy and investment decisions.
• Lead the team: recruit, develop managers and senior ICs, and establish an effective US/APAC model.
• Coordinate with product, research, DevRel, hardware, CUDA, and open-source collaborators to deliver upstream improvements.
• Ensure high-quality upstream work and durable open-source RL workloads on NVIDIA systems.

Skills

Distributed systems

AI frameworks

Engineering management

Strategic planning

Cross-team collaboration

Executive communication

Education

MS/PhD in CS/CE or related field

Tools

Ray

Kubernetes

Megatron-Core

Monarch

Job description

NVIDIA is seeking a Senior Software Engineering Manager to set strategy and build a team for RL post-training frameworks across VeRL, Miles, Slime, SkyRL, TorchTitan, and related stacks. You will influence investments, partner upstream, and drive multi-team execution with measurable impact, spanning training, inference, rollout, and orchestration on NVIDIA platforms.

You will also shape an effective US/APAC operating model, recruit and coach managers, and ensure high-quality upstream work that