{"schemaVersion":"jobsearcher.job.v1","id":"94ff0165877179489d295764","url":"https://jobsearcher.com/jobs/94ff0165877179489d295764","canonicalUrl":"https://jobsearcher.com/jobs/94ff0165877179489d295764","title":"Lead, GPU MD Simulation Engineering","description":"NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.\n\nNVIDIA BioNeMo is building the computational foundation for the next generation of biological discovery. We are looking for a hands-on technical manager to lead our MD Simulation Engineering team - a focused group whose mission is to enable biological simulation engines at scale.\n\nYou will lead a team of engineers building the GPU-native simulation software the scientific community depends on. This role combines player and mentor responsibilities. You will maintain technical credibility throughout the group's efforts and guide architectural decisions. You also be responsible for the roadmap, coordinate dependencies with NVIDIA and external partners, and support team growth.\n\nWhat You'll Be Doing:\nLead, hire, and develop software engineers within a collaborative unit; build a culture of ownership, engineering excellence, and direct collaboration with researchers and authorities in the field.\nDefine vision, strategy, and roadmap for the division's GPU-accelerated simulation software.\nOwn end-to-end delivery across multiple workstreams; align partners, lead cross-team dependencies, and drive predictable execution.\nPartner with Applied Science teams to translate research prototypes into production-quality, benchmarked software.\nBuild and maintain relationships with the community dedicated to molecular dynamics' modeling to ensure the team is delivering what the community needs.\nDrive engineering completion: code quality, CI/CD, multi-SKU validation, and documentation standards.\nCommunicate progress, risks, and decisions clearly.\n\nWhat We Need to See:\n8+ overall years of software engineering experience, including 3+ years being responsible for an engineering team with direct reports.\nStrong technical foundation in GPU computing and high-performance scientific software; ability to review builds, influence architectural directions, and maintain a high engineering standard across the team's work.\nExperience shipping production GPU libraries, scientific computing software, or developer-facing APIs - you understand what it takes to go from prototype to a product that external developers depend on.\nFamiliarity with molecular dynamics simulation concepts (force fields, electrostatics, neighbor lists, periodic boundary conditions) sufficient to engage credibly with both colleagues and the MD simulator community.\nProven record to lead multi-functional dependencies, work across interpersonal boundaries without direct authority, and communicate technical progress clearly to senior leadership.\nBS/MS in Computer Science, Computational Science, Physics, Chemistry, or a related field, or equivalent experience.\n\nWays to Stand Out from the Crowd:\nYou have shipped a GPU-accelerated scientific computing library or supplied to a major open-source MD simulation engine.\nPhD-level education or comparable experience in computational chemistry, biophysics, applied mathematics, or computer science with a focus on HPC or scientific computing.\nExperience with GPU compiler toolchains or kernel delivery mechanisms.\nYou have worked across the boundary between applied science and engineering - taking algorithmic research and turning it into a shipped, benchmarked product.\nActive engagement in the MD simulation or computational chemistry community through publications, conference talks, or open-source contributions.\n\nWidely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.\n\nYou will also be eligible for equity and benefits .\n\nApplications for this job will be accepted at least until May 26, 2026.\n\nThis posting is for an existing vacancy.\n\nNVIDIA uses AI tools in its recruiting processes.\n\nNVIDIA 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.\n#J-18808-Ljbffr","company":"NVIDIA","rawCompany":"nvidia","city":"Santa Clara","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:15:10.708Z","occupations":[{"code":"11-9121.00","title":"Natural Sciences Managers","slug":"natural-sciences-managers"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541714","title":"Research and Development in Biotechnology (except Nanobiotechnology)","slug":"research-and-development-in-biotechnology-except-nanobiotechnology"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead, GPU MD Simulation Engineering","description":"NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.\n\nNVIDIA BioNeMo is building the computational foundation for the next generation of biological discovery. We are looking for a hands-on technical manager to lead our MD Simulation Engineering team - a focused group whose mission is to enable biological simulation engines at scale.\n\nYou will lead a team of engineers building the GPU-native simulation software the scientific community depends on. This role combines player and mentor responsibilities. You will maintain technical credibility throughout the group's efforts and guide architectural decisions. You also be responsible for the roadmap, coordinate dependencies with NVIDIA and external partners, and support team growth.\n\nWhat You'll Be Doing:\nLead, hire, and develop software engineers within a collaborative unit; build a culture of ownership, engineering excellence, and direct collaboration with researchers and authorities in the field.\nDefine vision, strategy, and roadmap for the division's GPU-accelerated simulation software.\nOwn end-to-end delivery across multiple workstreams; align partners, lead cross-team dependencies, and drive predictable execution.\nPartner with Applied Science teams to translate research prototypes into production-quality, benchmarked software.\nBuild and maintain relationships with the community dedicated to molecular dynamics' modeling to ensure the team is delivering what the community needs.\nDrive engineering completion: code quality, CI/CD, multi-SKU validation, and documentation standards.\nCommunicate progress, risks, and decisions clearly.\n\nWhat We Need to See:\n8+ overall years of software engineering experience, including 3+ years being responsible for an engineering team with direct reports.\nStrong technical foundation in GPU computing and high-performance scientific software; ability to review builds, influence architectural directions, and maintain a high engineering standard across the team's work.\nExperience shipping production GPU libraries, scientific computing software, or developer-facing APIs - you understand what it takes to go from prototype to a product that external developers depend on.\nFamiliarity with molecular dynamics simulation concepts (force fields, electrostatics, neighbor lists, periodic boundary conditions) sufficient to engage credibly with both colleagues and the MD simulator community.\nProven record to lead multi-functional dependencies, work across interpersonal boundaries without direct authority, and communicate technical progress clearly to senior leadership.\nBS/MS in Computer Science, Computational Science, Physics, Chemistry, or a related field, or equivalent experience.\n\nWays to Stand Out from the Crowd:\nYou have shipped a GPU-accelerated scientific computing library or supplied to a major open-source MD simulation engine.\nPhD-level education or comparable experience in computational chemistry, biophysics, applied mathematics, or computer science with a focus on HPC or scientific computing.\nExperience with GPU compiler toolchains or kernel delivery mechanisms.\nYou have worked across the boundary between applied science and engineering - taking algorithmic research and turning it into a shipped, benchmarked product.\nActive engagement in the MD simulation or computational chemistry community through publications, conference talks, or open-source contributions.\n\nWidely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.\n\nYou will also be eligible for equity and benefits .\n\nApplications for this job will be accepted at least until May 26, 2026.\n\nThis posting is for an existing vacancy.\n\nNVIDIA uses AI tools in its recruiting processes.\n\nNVIDIA 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.\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:15:10.708Z","dateModified":"2026-07-16T03:15:10.708Z","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":"94ff0165877179489d295764"},"url":"https://jobsearcher.com/jobs/94ff0165877179489d295764"}}