Senior Research Engineer
NVIDIA Santa Clara, CA Full-time 3/31/2026
Master's with 2+ Years of ExperiencePhD Entry-Level
Approval 99.2%•Total filings 1,781•New hires 873•
👑 Elite Sponsor
•FY 2025Job Description
NVIDIA is seeking a research engineer to develop next-generation post-training software for generative AI. The role involves collaboration with applied researchers and focuses on large-scale AI training, performance tuning, and contributions to open-source projects.
Requirements
- BS, MS or PhD in Computer Science, AI, Applied Math, or related fields or equivalent experience
- 6+ years of proven experience in machine learning, systems, distributed computing, or large-scale model training
- Experience with AI Frameworks such as Pytorch or JAX
- Experience with at least one inference and deployment environment such as vLLM, SGLang or TRT-LLM
- Proficient in Python programming, software design, debugging, performance analysis, test design and documentation
- Strong understanding of AI/Deep-Learning fundamentals and their practical applications
Responsibilities
- Work with applied researchers to design, implement and test next generation of RL and post-training algorithms
- Contribute and advance open source by developing NeMo-RL, Megatron Core, and NeMo Framework
- Engage as part of one team during Nemotron models post-training
- Solve large-scale, end-to-end AI training and inference challenges
- Work at the intersection of computer-architecture, libraries, frameworks, AI applications and the entire software stack
- Performance tuning and optimizations, model training with mixed precision recipes on next-gen NVIDIA GPU architectures
- Publish and present your results at academic and industry conferences
Benefits
- Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.
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