{"id":1158230,"url":"https://alion.io/job/nvidia-phd-research-intern-quantum-simulation-and-ai-2027","title":"PhD Research Intern, Quantum Simulation and AI - 2027","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"A","score":92,"open_postings":231,"ghost_share":0.013,"stale_share":0.273,"repost_share":0.03,"time_to_fill_p50_days":27,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":38,"max":94,"currency":"USD","period":"hour","gross":null,"usd_annual":188000},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-23T22:29:10Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T07:42:17Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"NVIDIA Research is seeking leading researchers in the area of simulation and AI for quantum. You should have a strong background of research excellence, software systems building experience, and interest in advancing the state-of-the-art in quantum computing and applications of GPUs to the quantum computing ecosystem. Specific areas of research interest include but are not limited to bespoke quantum representations, tensor network methods, quantum surrogate modeling, quantum inverse design, and automated proving for quantum systems.\nWhat you’ll be doing:\nResearch and develop creative and innovative algorithms and software systems for the quantum computing ecosystem. \nCollaborate with research and product teams in the areas of machine learning, programming systems, and quantum computing. \nPublish and present your original research, speak at conferences and events. \nCollaborate with external quantum computing researchers. \nRun large-scale experiments on large clusters of GPUs to advance the state-of-the-art in quantum computing simulation. \nWhat we need to see:\nCurrently pursuing a Ph.D. in Quantum Physics or related fields\n1+ years of relevant research experience in quantum computing with a strong research record, well-referenced publications and/or patents. \nStrong basis in linear algebra and expertise in math for quantum computing and tensor algebraic methods. \nExperience with Python and, ideally, CUDA \nExperience with commonly used machine learning frameworks (PyTorch, Tensorflow, JAX). \nStrong communication and teamwork skills. \nNVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.\nOur internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.\nYou will also be eligible for Intern benefits.\nApplications for this job will be accepted at least until September 27, 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. 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.","description_format":"text","description_chars":2974,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Quantum Science & Computing","Artificial Intelligence","Information Technology","Autonomous Driving"],"lifecycle":[{"event":"open","at":"2026-09-23T22:29:10Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":27,"reasons":["conf:1","velocity","win:early","comp:junior,brand"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":188000,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-phd-research-intern-quantum-simulation-and-ai-2027","json_url":"https://alion.io/job/nvidia-phd-research-intern-quantum-simulation-and-ai-2027.json","meta":{"generated_at":"2026-09-24T08:06:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}