NVIDIA · 1 day ago
Senior GenAI Algorithms Engineer — Model Optimizations for Inference
Austin, TX
Full-time
Onsite
Senior Level
$148K/yr - $236K/yr
5+ years expNVIDIA is at the forefront of the generative AI revolution! They are seeking a Senior Deep Learning Algorithms Engineer to design, implement, and productionize model optimization algorithms for inference and deployment on NVIDIA’s latest hardware platforms, focusing on maximizing efficiency and performance.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Hiring Manager
Deepika Yammanur (she/her/hers)
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
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
Conduct deep GPU kernel-level profiling to identify and capitalize on hardware and software optimization opportunities (e.g., efficient attention kernels, KV cache optimization, parallelism strategies)
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, JAX, vLLM, SGLang, or other machine learning training and inference frameworks
Hands-on experience training or fine-tuning generative AI models on 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., TensorRT)
Experience developing high-performance GPU kernels for machine learning workloads using CUDA, CUTLASS, or Triton
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
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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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