NVIDIA · 4 days ago
Senior Research Engineer
Santa Clara, CA
Full-time
Onsite
Mid, Senior Level
$160K/yr - $299K/yr
3+ years expNVIDIA is a leading technology company known for its innovative work in AI. They are seeking a Senior Research Engineer to develop next-generation post-training software, collaborating with researchers and engineers to tackle large-scale AI training and inference challenges.
Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
Hiring Manager
Bushra S.
Responsibilities
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
You will be engaged as part of one team during Nemotron models post-training
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
Qualification
Required
BS, MS or PhD in Computer Science, AI, Applied Math, or related fields or equivalent experience
3+ 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
Preferred
Contributions to open source deep learning libraries
Hands-on experience in large-scale AI training, with a deep understanding of core compute system concepts (such as latency/throughput bottlenecks, pipelining, and multiprocessing) and demonstrated excellence in related performance analysis and tuning
Expertise in distributed computing, model parallelism, and mixed precision training
Prior experience with Generative AI techniques applied to LLM and Multi-Modal learning (Text, Image, and Video)
Knowledge of GPU/CPU architecture and related numerical software
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
2026-01-07
2026-01-07
Company data provided by crunchbase