--- title: Performance Engineer Deep Learning at NVIDIA description: NVIDIA is hiring for the Performance Engineer Deep Learning role in Santa Clara, CA. On-site role. See the full description and apply. type: job url: https://www.foundrole.com/jobs/performance-engineer-deep-learning-at-nvidia-01a11dd7-c517-70e8-bced-ea2dbfc3da97 date: 2026-10-09T00:16:11Z og_description: Join NVIDIA as Performance Engineer Deep Learning in Santa Clara, CA. Pays $124K–$195.5K per year. On-site role. og_image: https://www.foundrole.com/og/i251c0.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | [NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) | | **Location** | Santa Clara, CA | | **Salary** | $124K/yr - $195.5K/yr | | **Posted** | Oct 04, 2026 | ## Description Our Deep Learning models performance engineering team at NVIDIA is hiring software engineers at all experience levels to build and optimize the libraries and tools that enable Deep Learning Researchers and Engineers to design, develop, and deploy efficient AI applications. We are an ambitious and diverse team that builds optimizations directly into mainstream open source Deep Learning frameworks - PyTorch and JAX, which boost the performance at all levels of NVIDIA's AI stack. Our team has a wide collaborative footprint, working not only with multiple teams across NVIDIA but also with the broader open-source community to deliver SOTA Deep Learning performance on the best AI platform in the world! **What you will be doing:** - Build and support Transformer Engine, the open-source library for accelerating the training of Large Language Models. - Collaborate on systems research that improves Deep Learning model performance, such as training using extremely low precision, parallelism methods, etc. - Implement, benchmark, and optimize new Deep Learning models such as LLMs straight out of groundbreaking research to scale efficiently on NVIDIA GPUs and systems. - Build and contribute to NVIDIA submissions on community benchmarks such as MLPerf. - Engage with the open-source community as well as support enterprise customers and partners by delivering the benefits of NVIDIA’s latest hardware and software innovations. - Influence the design of new hardware generations and core platform software components for NVIDIA hardware and systems. **What we need to see:** - BS or equivalent experience in Computer Science, Electrical Engineering, or a related field. - 2+ years of experience in C++ and Python programming. - Strong background, experience, or coursework in parallel systems programming, preferably on GPUs. - Knowledge of Computer Architecture, Code Optimization, and/or Operating Systems. - Proven experience in developing large software projects. - Excellent verbal and written communication skills. **Ways to stand out from the crowd:** - Experience in PyTorch, JAX, or any other DL framework. - Experience with performance analysis, profiling, and code optimization techniques, especially with multi-GPU or multi-node systems. - Knowledge of modern LLM architectures, attention mechanisms, and/or low-level DL libraries such as cuBLAS, cuDNN, and cuSOLVER. - Experience in writing GPU kernels using any of - CUDA, OpenAI Triton, CuTeDSL, Pallas, or other similar libraries. - Any past contributions to the open source community and/or experience working with multidisciplinary teams also showcase readiness for the team's responsibilities. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3. You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/). Applications for this job will be accepted at least until October 9, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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. ## Skills - Influencing - Security Panels - GPU Computing - cuDNN - Computer Architecture - Open-Source Software - Deep Learning - NVIDIA Triton Inference Server - Performance Analysis - Python - Mechanical Systems - GPU Kernel Development - OpenAI - C++ - JAX - GPU (Graphics Processing Unit) - Large Language Models (Llm) - NVIDIA CUDA - Performance Profiling - Computer Science - System Programming - Node.js - Electrical Engineering - Communication - Writing - Code Optimization - MLPerf ## Related - [More jobs at NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) - [Technology & Software jobs](https://www.foundrole.com/careers/technology-and-software?utm_source=ai_markdown)- [Software Development jobs](https://www.foundrole.com/careers/technology-and-software/software-development?utm_source=ai_markdown)- [Software Developer / Engineer jobs](https://www.foundrole.com/careers/technology-and-software/software-development/software-developer-engineer?utm_source=ai_markdown)- [Performance Engineer jobs](https://www.foundrole.com/careers/technology-and-software/software-development/software-developer-engineer/performance-engineer?utm_source=ai_markdown)- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown) ## Explore this job market - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 273697 jobs - [Computer Hardware](https://www.foundrole.com/sectors/technology/computer-hardware?utm_source=ai_markdown) — 27841 jobs - [Santa Clara, CA](https://www.foundrole.com/locations/us/california/santa-clara?utm_source=ai_markdown) — 7387 jobs - [NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) — 5031 jobs ## Related pages - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 273697 jobs - [Computer Hardware](https://www.foundrole.com/sectors/technology/computer-hardware?utm_source=ai_markdown) — 27841 jobs - [Santa Clara, CA](https://www.foundrole.com/locations/us/california/santa-clara?utm_source=ai_markdown) — 7387 jobs - [NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) — 5031 jobs ## Browse - [Companies](https://www.foundrole.com/companies?utm_source=ai_markdown) - [Jobs by country](https://www.foundrole.com/locations?utm_source=ai_markdown) - [Jobs in the United States by state and city](https://www.foundrole.com/locations/us?utm_source=ai_markdown) - [H1B sponsors by location](https://www.foundrole.com/h1b-sponsors?utm_source=ai_markdown) - [H1B salaries](https://www.foundrole.com/h1b-salaries?utm_source=ai_markdown) - [Sectors and industries](https://www.foundrole.com/sectors?utm_source=ai_markdown) - [Jobs by career field](https://www.foundrole.com/careers?utm_source=ai_markdown) - [Latest jobs](https://www.foundrole.com/jobs/latest?utm_source=ai_markdown)