{"id":3660862,"url":"https://alion.io/job/nvidia-math-libraries-intern-cuest-summer-2027","title":"Math Libraries Intern, cuEST - Summer 2027","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":794,"ghost_share":0.025,"stale_share":0.594,"repost_share":0.055,"time_to_fill_p50_days":41,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"OpenCL","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-11-02T00:00:00Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-08T20:35:34Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Today, NVIDIA is 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 an inclusive, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. NVIDIA is looking for software engineering interns to join the math libraries team building cuEST, a CUDA-X math library that accelerates quantum chemistry on NVIDIA GPUs. Launched in March 2026, cuEST provides accelerated APIs for essential functions in electronic structure computations, starting with Gaussian-basis quantum chemistry. These capabilities power applications ranging from drug discovery to semiconductor process development. We are constantly working to improve the feature set, performance, and technology stack of cuEST. If the idea of helping expand the frontiers of electronic structure theory excites you, come join our team and help us build GPU-accelerated software used by quantum chemists around the world.\nDuring your internship, you will work with senior engineers on the cuEST team who will mentor you and guide you in developing highly optimized algorithms and numerical methods for quantum chemistry. Projects may involve implementing new quantum chemistry primitives, defining APIs, analyzing and improving GPU performance, finding solutions for difficult numerical corner cases, and other software engineering work that goes into shipping a production CUDA-X library.\nWhat you’ll be doing:\nPrototype and develop GPU-accelerated algorithms for Gaussian-basis quantum chemistry primitives in cuEST.\nAnalyze the performance of CUDA implementations, identify opportunities for improvement, and implement them.\nContribute across the engineering lifecycle, from design and testing to code that ships in the library.\nCollaborate with team members and other stakeholders to understand how quantum chemistry applications use cuEST and what they need from it.\nWhat we need to see:\nPursuing a BS, MS, or PhD degree in Computational Chemistry, Computational Physics, Computer Science, Applied Math, or an equivalent program area.\nExcellent C/C++ or Python programming, debugging, performance analysis, and test design skills.\nStrong algorithms and numerical methods fundamentals.\nAbility to work independently and lead your own development effort.\nGood teamwork, communication, and documentation habits.\nWays to stand out from the crowd:\nGPU programming experience (CUDA or OpenCL) is desired but not required.\nCoursework or research experience in quantum chemistry or electronic structure theory is desired but not required.\nKnowledge of floating-point arithmetic and numerical error analysis.\nKnowledge of CPU or GPU hardware architecture.\nExperience using agentic AI tools to improve the speed and quality of software development.\nNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re creative and autonomous, we want to hear from you!\nOur internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD - 94 USD.You will also be eligible for Intern benefits.\nApplications for this job will be accepted at least until November 6, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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