[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All NVIDIA jobs](https://jobs.opennash.com/companies/nvidia/) · [Search jobs](/search/) NVIDIA · Multiple locations # Senior HPC Performance Engineer Multiple locations Senior individual contributor Operations Listed on NVIDIA’s official careers site. Posted October 15, 2026. Check that it is still open and apply there. [Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-OR-Remote/Senior-HPC-Performance-Engineer_JR2016206) [OpenNash Jobs](https://jobs.opennash.com/) / [NVIDIA](https://jobs.opennash.com/companies/nvidia/) / Senior HPC Performance Engineer ## Job description As a member of our team in NVIDIA's NVHPC compilers & tools group, you will analyze and run High Performance Computing (HPC) applications on HPC servers and systems to gain insight into the performance characteristics of these applications. The applications you'll work with range from small synthetic benchmarks that use a single core to full applications that utilize all of the resources on distributed-memory systems with heterogeneous compute nodes including CPUs, GPUs and many-core processors. In this role you will analyze these applications and identify optimization opportunities for compiler development teams and application engineering teams. ### What you’ll be doing Assist customers GPU accelerate HPC applications. Analyze High Performance Computing (HPC) applications to better understand their performance characteristics. Provide advise and drive compiler and applications engineering development teams based on the analysis of these HPC applications. ### What we need to see BS/MS or equivalent experience in Computer Science or related engineering field. 8+ Years of programming experience. Solid understanding of Fortran/C/C++, as well as programming techniques, especially for parallel architectures; preferably for compilers Experience with OpenACC, OpenMP, MPI, and CUDA. Strong skills in performance analysis and tuning, as well as a broad understanding of parallel applications development tools and runtime environments. Strong mathematical fundamentals, including linear algebra and numerical methods. Understand performance considerations, tradeoffs and impact. Expert interpersonal skills, logical approach to problem solving, good time management and task prioritization skills. Excellent written and verbal communication skills, along with the ability to work in a dynamic product oriented team. ### Ways to stand out from the crowd You have a deep understanding of machine architectures and micro-architectures. Experience with debugging and porting as well as assembly language programming is a significant advantage. Experience is leading and/or managing projects is a plus. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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. ## At a glance - Posted by the employer: Oct 15, 2026 - First seen by OpenNash: Jul 10, 2026 - Last checked: Oct 20, 2026 - Listed for: 102 days - Location: Multiple locations[Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-OR-Remote/Senior-HPC-Performance-Engineer_JR2016206) ## More jobs at NVIDIA ### [EDA Workflow Optimization Engineer](https://jobs.opennash.com/companies/nvidia/jobs/c987f8ab76243c5a6cfe/) ### [HPC Performance Engineer](https://jobs.opennash.com/companies/nvidia/jobs/ba8793c7fdf40c4e4de4/) ### [Senior AI Compute Engineer](https://jobs.opennash.com/companies/nvidia/jobs/c56f10a39b905be09ab8/) ### [Senior AI Performance and Efficiency Engineer](https://jobs.opennash.com/companies/nvidia/jobs/55f7106962ae6c27bcd9/) ### [Senior ASIC Power Engineer](https://jobs.opennash.com/companies/nvidia/jobs/a4f1426a91be97dbacd9/) ## Similar jobs at other companies ### [AI Reliability Engineer, HPC](https://jobs.opennash.com/companies/microsoft/jobs/0df5c2e98402f0cd7153/) Microsoft · United Kingdom, London ### [Lead HPC & AI Performance Engineer](https://jobs.opennash.com/companies/advanced-micro-devices-amd/jobs/a643442eb2ecfc9a4071/) Advanced Micro Devices (AMD) · France ### [HPC Applications & Performance Engineer](https://jobs.opennash.com/companies/hewlett-packard-enterprise/jobs/46e5173a1ed671ae5080/) Hewlett Packard Enterprise ### [HPC & AI Application Performance Engineer](https://jobs.opennash.com/companies/hewlett-packard-enterprise/jobs/67bc86e74f13db738720/) Hewlett Packard Enterprise · Winnersh, Berkshire, United Kingdom ### [Android Performance Optimization / Power Performance - Staff Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/ae100d02b9729a4b6d68/) Qualcomm · Bangalore, India OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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