NVIDIA · 1 day ago
Senior GenAI Algorithms Engineer — Post-Training Optimizations
Santa Clara, CA
Full-time
Onsite
Senior Level
$184K/yr - $288K/yr
5+ years expNVIDIA is at the forefront of the generative AI revolution, specifically focusing on optimizing generative AI models for maximal inference efficiency. The Senior GenAI Algorithms Engineer will design, implement, and productionize model optimization algorithms for inference and deployment on NVIDIA’s latest hardware platforms.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Design and build modular, scalable model optimization software platforms that deliver exceptional user experiences while supporting diverse AI models and optimization techniques to drive widespread adoption
Explore, develop, and integrate innovative deep learning optimization algorithms (e.g., quantization, speculative decoding, sparsity) into NVIDIA's AI software stack, e.g., TensorRT Model Optimizer, NeMo/Megatron, and TensorRT-LLM
Construct and curate large problem specific datasets for post-training, finetuning, and reinforcement learning
Deploy optimized models into leading OSS inference frameworks and contribute specialized APIs, model-level optimizations, and new features tailored to the latest NVIDIA hardware capabilities
Partner with NVIDIA teams to deliver model optimization solutions for customer use cases, ensuring optimal end-to-end workflows and balanced accuracy-performance trade-offs
Drive continuous innovation in deep learning inference performance to strengthen NVIDIA platform integration and expand market adoption across the AI inference ecosystem
Qualification
Required
Master's, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Applied Mathematics, or a related field
5+ years of relevant work or research experience in deep learning
Strong software design skills, including debugging, performance analysis, and test development
Proficiency in Python, PyTorch, and modern ML frameworks/tools
Proven foundation in algorithms and programming fundamentals
Strong written and verbal communication skills, with the ability to work both independently and collaboratively in a fast-paced environment
Preferred
Contributions to PyTorch, Megatron-LM, NeMo, TensorRT-LLM, vLLM, SGLang, or other machine learning training and inference frameworks
Hands-on training, fine-tuning, or reinforcement learning experience on LLM or VLM models with large-scale GPU clusters
Proficient in GPU architectures and compilation stacks, adept at analyzing and debugging end-to-end performance
Familiarity with NVIDIA's deep learning SDKs (e.g., NeMo, TensorRT, TensorRT-LLM)
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
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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
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2026-01-09
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