NVIDIA
Senior GenAI Algorithms Engineer — Model Optimizations for Inference
NVIDIA, Seattle, Washington, us, 98127
Senior GenAI Algorithms Engineer — Model Optimizations for Inference
Join to apply for the Senior GenAI Algorithms Engineer — Model Optimizations for Inference role at NVIDIA.
Overview NVIDIA is at the forefront of the generative AI revolution. The Algorithmic Model Optimization Team focuses on optimizing generative AI models for maximal inference efficiency using techniques such as quantization, speculative decoding, sparsity, distillation, pruning, and neural architecture search, with streamlined deployment strategies across open-sourced inference frameworks. The role focuses on designing, implementing, and productionizing model optimization algorithms for inference and deployment on NVIDIA’s latest hardware platforms, with emphasis on ease of use, compute and memory efficiency, and best accuracy–performance tradeoffs through software–hardware co-design.
What You’ll Be Doing
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 (TensorRT Model Optimizer, NeMo/Megatron, 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.
What We Need To See
Master’s, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Applied Mathematics, or 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.
Ways To Stand Out From The Crowd
Contributions to PyTorch, JAX, vLLM, SGLang, or other ML 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 ML workloads using CUDA, CUTLASS, or Triton.
Increasingly known as “the AI computing company,” NVIDIA offers highly competitive salaries and a comprehensive benefits package. Applications for this job will be accepted at least until September 26, 2025. NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate 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.
Your base salary will be determined based on location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
JR2003234
Job Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering/Research
Industries: Computer Hardware Manufacturing, Software Development, Computers and Electronics Manufacturing
Referrals increase your chances of interviewing at NVIDIA. Get notified about new Algorithm Engineer jobs in Seattle, WA.
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Overview NVIDIA is at the forefront of the generative AI revolution. The Algorithmic Model Optimization Team focuses on optimizing generative AI models for maximal inference efficiency using techniques such as quantization, speculative decoding, sparsity, distillation, pruning, and neural architecture search, with streamlined deployment strategies across open-sourced inference frameworks. The role focuses on designing, implementing, and productionizing model optimization algorithms for inference and deployment on NVIDIA’s latest hardware platforms, with emphasis on ease of use, compute and memory efficiency, and best accuracy–performance tradeoffs through software–hardware co-design.
What You’ll Be Doing
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 (TensorRT Model Optimizer, NeMo/Megatron, 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.
What We Need To See
Master’s, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Applied Mathematics, or 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.
Ways To Stand Out From The Crowd
Contributions to PyTorch, JAX, vLLM, SGLang, or other ML 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 ML workloads using CUDA, CUTLASS, or Triton.
Increasingly known as “the AI computing company,” NVIDIA offers highly competitive salaries and a comprehensive benefits package. Applications for this job will be accepted at least until September 26, 2025. NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate 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.
Your base salary will be determined based on location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
JR2003234
Job Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering/Research
Industries: Computer Hardware Manufacturing, Software Development, Computers and Electronics Manufacturing
Referrals increase your chances of interviewing at NVIDIA. Get notified about new Algorithm Engineer jobs in Seattle, WA.
#J-18808-Ljbffr