NVIDIA

23 hours ago

Senior Quantum Algorithm Researcher

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Collaborate with Product, Engineering, and Research teams to advance quantum computing applications driven by AI, including quantum algorithm discovery, advanced simulations, and digital twins. Lead hybrid quantum-classical application collaborations with supercomputing centers across industry verticals, spearhead AI research for quantum algorithms, and translate technical results into customer-focused outcomes. Publish and represent NVIDIA at key scientific and industry conferences.

Location: Tokyo

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Mid level

Key Responsibilities

•Establish and lead technical collaborations with supercomputing centers (SCCs) on hybrid quantum-classical application development across industry verticals.
•Spearhead research pathfinding in AI for quantum algorithms.
•Guide project execution for technical results in collaboration with strategic partners (SCCs, QPU builders, and researchers), aligning to objectives and customer success.
•Contribute to the revenue stream through strategic technical engagement and development of solutions supporting customer adoption and partnerships.
•Publish impactful research and represent NVIDIA at relevant scientific, technical, and industry conferences.

Key Requirements

•Ph.D. in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience) with 5+ years working on quantum algorithms and applications.
•Deep insider knowledge of and strong connections within the Japanese quantum ecosystem.
•Demonstrated leadership in technical collaborations with industry partners.
•Excellent programming skills in Python and C++, including parallel programming experience (e.g., CUDA).
•Proven research excellence with publications and presentations at leading conferences.

Experience:5+ years

Education:PhD / Doctorate

Skills:LeadershipCommunicationInterpersonal skillsProblem-solvingResearch excellence

Tech Stack:PythonC++CUDACuQuantumCUDA-Q

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

23 hours ago

Senior Quantum Algorithm Researcher

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Tokyo

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Mid level

Key Responsibilities

•Establish and lead technical collaborations with supercomputing centers (SCCs) on hybrid quantum-classical application development across industry verticals.
•Spearhead research pathfinding in AI for quantum algorithms.
•Guide project execution for technical results in collaboration with strategic partners (SCCs, QPU builders, and researchers), aligning to objectives and customer success.
•Contribute to the revenue stream through strategic technical engagement and development of solutions supporting customer adoption and partnerships.
•Publish impactful research and represent NVIDIA at relevant scientific, technical, and industry conferences.

Key Requirements

•Ph.D. in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience) with 5+ years working on quantum algorithms and applications.
•Deep insider knowledge of and strong connections within the Japanese quantum ecosystem.
•Demonstrated leadership in technical collaborations with industry partners.
•Excellent programming skills in Python and C++, including parallel programming experience (e.g., CUDA).
•Proven research excellence with publications and presentations at leading conferences.

Experience:5+ years

Education:PhD / Doctorate

Skills:LeadershipCommunicationInterpersonal skillsProblem-solvingResearch excellence

Tech Stack:PythonC++CUDACuQuantumCUDA-Q

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor