What you’ll be doing
Help design and build modular, scalable model optimization software platforms that deliver exceptional user experiences while supporting diverse AI models and optimization techniques.
Explore, develop, and integrate innovative deep learning optimization algorithms (quantization, speculative decoding, sparsity, distillation, pruning, neural architecture search) into NVIDIA's AI software stack.
Deploy optimized models into leading open-source inference frameworks and contribute specialized APIs, model-level optimizations, and new features tailored to the latest NVIDIA hardware capabilities.
Collaborate with NVIDIA teams on model optimization solutions for customer use cases, aiming for optimal end-to-end workflows and balanced accuracy–performance trade-offs.
Conduct GPU kernel-level profiling to identify and capitalize on hardware and software optimization opportunities (e.g., efficient attention kernels, KV cache optimization, parallelism strategies).
What we need to see
Pursuing a Master's or PhD in Computer Science, AI, Applied Math, or a related field.
Strong deep learning background and hands-on experience with language models.
Solid foundation in algorithms and programming.
Proficiency in Python, PyTorch, and modern ML frameworks/tools.
Good 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
Experience with model optimization and efficiency (e.g., quantization, distillation, pruning).
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.
Knowledge of GPU architectures and compilation stacks, and the ability to analyze and debug end-to-end performance.
Familiarity with NVIDIA’s deep learning SDKs (Model Optimizer, NeMo).
Increasingly known as “the AI computing company” and widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Are you creative, motivated, and love a challenge? If so, we want to hear from you! Come, join our model optimization group, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly-growing field.
NVIDIA is committed to fostering a diverse 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.
