{"schemaVersion":"jobsearcher.job.v1","id":"bb2df581462269d365d1ff4f","url":"https://jobsearcher.com/jobs/bb2df581462269d365d1ff4f","canonicalUrl":"https://jobsearcher.com/jobs/bb2df581462269d365d1ff4f","title":"Performance Engineer, Deep Learning and HPC","description":"Overview NVIDIA has been transforming computer graphics, gaming, and accelerated computing for more than 25 years. We are now harnessing AI to define the next era of computing, using GPUs as the brains of cars and robots. As an NVIDIAN, you’ll join a diverse, supportive environment and play an essential role in propelling AI progress.\nResponsibilities Plan and execute performance benchmarking across a wide range of HPC and DL frameworks and applications.\nAggregate, analyze, and present written and visual reports for internal sales, marketing, software, and hardware teams.\nDevelop Python scripts to automate testing of DL & HPC‑focused applications.\nWork with engineering teams to debug performance issues.\nAssist with development of automated testing tools and processes.\nQualifications B.S. in Computer Engineering, Computer Science or related field (or equivalent experience).\n2+ years of experience.\nExcellent programming and debugging skills in Python or Unix shell.\nAdvanced knowledge of Linux‑based systems (Ubuntu, CentOS).\nProficient in compiling software from source, including error debugging.\nExcellent English verbal and written communication.\nStrong data analysis skills and report writing.\nFamiliarity with container platforms such as Docker or Singularity.\nPreferred: experience with GPU‑enabled frameworks such as PyTorch, MXNet, or TensorRT.\nPreferred: experience with GPU‑enabled HPC applications (LAMMPS, GROMACS, Amber, etc.).\nExperience benchmarking on cloud solutions (AWS, GCP, Azure).\nKnowledge of compilers (GNU, Intel, PGI) and cluster orchestration.\nBenefits & Compensation NVIDIA offers competitive salaries, equity, and benefits. Base salary ranges from $116,000–$189,750 (Level2) and $136,000–$212,750 (Level3). Equity and benefits are also available.\nEEO Mandate NVIDIA is committed to fostering an inclusive work environment and is an equal‑opportunity employer. Applicants must not be discriminated on the basis of protected characteristics.\n\n#J-18808-Ljbffr","company":"NVIDIA","rawCompany":"nvidia","city":"Santa Clara","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-07-24T03:15:39.266Z","occupations":[{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Performance Engineer, Deep Learning and HPC","description":"Overview NVIDIA has been transforming computer graphics, gaming, and accelerated computing for more than 25 years. We are now harnessing AI to define the next era of computing, using GPUs as the brains of cars and robots. As an NVIDIAN, you’ll join a diverse, supportive environment and play an essential role in propelling AI progress.\nResponsibilities Plan and execute performance benchmarking across a wide range of HPC and DL frameworks and applications.\nAggregate, analyze, and present written and visual reports for internal sales, marketing, software, and hardware teams.\nDevelop Python scripts to automate testing of DL & HPC‑focused applications.\nWork with engineering teams to debug performance issues.\nAssist with development of automated testing tools and processes.\nQualifications B.S. in Computer Engineering, Computer Science or related field (or equivalent experience).\n2+ years of experience.\nExcellent programming and debugging skills in Python or Unix shell.\nAdvanced knowledge of Linux‑based systems (Ubuntu, CentOS).\nProficient in compiling software from source, including error debugging.\nExcellent English verbal and written communication.\nStrong data analysis skills and report writing.\nFamiliarity with container platforms such as Docker or Singularity.\nPreferred: experience with GPU‑enabled frameworks such as PyTorch, MXNet, or TensorRT.\nPreferred: experience with GPU‑enabled HPC applications (LAMMPS, GROMACS, Amber, etc.).\nExperience benchmarking on cloud solutions (AWS, GCP, Azure).\nKnowledge of compilers (GNU, Intel, PGI) and cluster orchestration.\nBenefits & Compensation NVIDIA offers competitive salaries, equity, and benefits. Base salary ranges from $116,000–$189,750 (Level2) and $136,000–$212,750 (Level3). Equity and benefits are also available.\nEEO Mandate NVIDIA is committed to fostering an inclusive work environment and is an equal‑opportunity employer. Applicants must not be discriminated on the basis of protected characteristics.\n\n#J-18808-Ljbffr","datePosted":"2026-07-24T03:15:39.266Z","dateModified":"2026-07-24T03:15:39.266Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bb2df581462269d365d1ff4f"},"url":"https://jobsearcher.com/jobs/bb2df581462269d365d1ff4f"}}