Jobs / United States / Nvidia Corporation

Nvidia Corporation

Principal Applied Quantum Research Scientist

2 Locations Posted today

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Skills this job asks for

Machine learningProduct managementTranslation

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Nvidia Corporation paid sponsored hires in similar roles83 certified filings for “Research Scientist” (Computer and Information Research Scientists) in CA: $164k–$201k, median $169k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Nvidia Corporation paid sponsored hires in similar roles
83 certified filings for “Research Scientist” (Computer and Information Research Scientists) in CA: $164k–$201k, median $169k. Most were filed at wage level II (45%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

At NVIDIA, we’re solving the world’s most exciting problems with our unique approach to accelerated computing. We’re looking for passionate technologists with deep quantum computing expertise to help define the future of accelerated quantum supercomputing. As a Principal Applied Quantum Research Scientist within Quantum Computing Applied Research, you will conduct technical pathfinding and develop breakthrough technologies spanning fault-tolerant quantum computing, quantum error correction, logical architectures, compilation, synthesis, resource optimization, and AI-driven optimization methods.   Quantum computing is a strategic priority for NVIDIA, and our goal is to accelerate the entire ecosystem through innovations in software, hardware, and system architecture. In this role, you will work with world-class researchers, engineers, architects, and external partners to advance the state of the art in fault-tolerant quantum computing and translate foundational research into practical technologies for accelerated quantum systems. Do you love developing new technology, tackling difficult scientific challenges, and driving innovation at the intersection of quantum computing and AI? If so, we’d love to hear from you. What you'll be doing: • Conduct technical pathfinding and lead impactful research across fault-tolerant quantum computing, driving innovations from theory to practice in areas such as quantum error correction, logical architectures, compilation, synthesis, AI-driven optimization, and quantum system co-design. • Research novel approaches for FTQC logic and architectures, such as fault-tolerant protocols and architectures, quantum compilation methods, application-architecture co-design, fundamental primitives to enable FTQC and decoding at scale. • Develop and apply advanced AI and machine learning methods to accelerate fault-tolerant quantum computing, such as decoding, compilation, architecture optimization, design-space exploration, and performance modeling. • Collaborate across Applied Research, Engineering, Architecture, and external partners to develop technologies that enable practical large-scale quantum computing. • Influence the evolution of NVIDIA’s quantum computing platforms, software stack, and accelerated quantum supercomputing roadmap. • Contribute to a culture of technical excellence, innovation, curiosity, and collaborative problem solving. What we need to see: • Ph.D. in Physics, Computer Science, Applied Mathematics, Electrical Engineering, or a related technical field, or equivalent experience. • 12+ years of research and industry experience in Quantum Information Science, Quantum Computing, Fault-Tolerant Quantum Computing, or related areas. • Deep expertise in one or more of the following areas: quantum error correction, fault tolerance, logical architectures, quantum compilation, quantum synthesis, resource estimation, quantum algorithms, or quantum systems design. • Demonstrated record of impactful technical contributions through research achievements, publications, patents, open-source software, deployed technologies, or other innovations. • Passion for developing novel techniques and translating them into practical technologies that accelerate the path to scientifically useful fault-tolerant quantum computing. • Strong communication and collaboration skills with the ability to work effectively across research, engineering, product teams, and external partners. Ways to stand out from the crowd: • Experience developing scalable fault-tolerant quantum computing systems spanning applications, software, logical layers, and hardware. • Experience applying AI, machine learning, reinforcement learning, foundation models, or advanced optimization techniques to quantum computing challenges.

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