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NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Applications for this job will be accepted at least until June 15, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Research Engineer
Location
California
Posted
50 days ago
Salary
$192K - $304.8K / year
Seniority
Senior
Job Description
Senior Research Engineer
NVIDIA
• Work with applied researchers to design, implement and test next generation of RL and pos-training algorithms • Contribute and advance open source by developing NeMo-RL, Megatron Core, and NeMo Framework and yet to be announced software • Solve large-scale, end-to-end AI training and inference challenges, spanning the full model lifecycle from initial orchestration, data pre-processing, running of model training and tuning, to model deployment. • 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
Job 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 environments 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.
Benefits
- equity
- benefits
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