> Markdown version of [/jobs/ext/1892522-performance-engineer](https://www.wearedevelopers.com/jobs/ext/1892522-performance-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Performance Engineer - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $152,000.0 - $241,500.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, C++ (Programming Language), Program Optimization, Profiling, Nvidia CUDA, Computer Programming, Computer Literacy, Systems Theories, Hardware Design, Python (Programming Language), Open Source Technology, Software Engineering, System Programming, Extensible Markup Language (XML), Scripting, Graphics Processing Unit (GPU), Pytorch, Large Language Models, Deep Learning, Parallel Computation, Information Technology, Hardware Infrastructure - **Published:** July 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-performance-engineer-deep-learning-santa-clara-ca--c184fb75-afc6-4582-92ee-ddbdc778f459 ## About the Role * BS or equivalent experience in Computer Science, Electrical Engineering, or a related field. * 3+ 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., Artificial Intelligence (AI), Benchmarking, C++ Programming Language, CUDA (Compute Unified Device Architecture), Communication Skills, Computer Architecture, Computer Science, Computer Skills, Cross-Functional, Customer Support/Service, Deep Learning, Electrical Engineering, GPU (Graphics Processing Unit), Hardware Components, Hardware Design, JAX (Java API for XML), Kernel Programming, Open Source, Operating Systems, Parallel Programming, Performance Analysis, Performance Engineering, Performance Modeling, Presentation/Verbal Skills, Python Programming/Scripting Language, Software Development, Software Engineering, Systems/Internals Programming, Team Player, Technical Recruiting, Writing Skills ## Description * 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. ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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