NVIDIA

1 month ago

Developer Relations Manager - Higher Education & Research

✓ 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

Lead strategic partnerships with research labs to accelerate adoption of NVIDIA AI and computing platforms. Serve as a technical advisor, identify high-impact workloads, and translate cutting-edge research into tangible collaboration opportunities across academia. Drive researcher enablement with cross-functional teams, foster academic publications, and shape education programs and platform roadmaps.

Location: Tokyo

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Develop strategic partnerships with leading research labs and principal researchers whose work aligns with our technology roadmap.
•Act as a trusted technical advisor for research labs, identifying and accelerating high-impact workloads by integrating NVIDIA frameworks, libraries, and core software stack into research projects.
•Stay current on research papers to anticipate trends and provide technical direction on future collaboration areas.
•Collaborate cross-functionally with Account Managers, Solution Architects, and Business Development teams to drive researcher enablement.
•Represent the needs of researchers internally by translating academic feedback into actionable insights that inform product development, education programs, and platform roadmaps.

Key Requirements

•PhD in Computer Science, AI, Machine Learning, Computational Science or related field, or equivalent research depth.
•6+ years of experience in research or industry at the AI/Science nexus.
•Deep expertise in applying AI, including Generative AI and Physical AI, to scientific domains.
•Strong understanding of frontier AI and computational science challenges.
•Hands-on experience building or evaluating AI systems using modern frameworks, APIs, orchestration tools, and sandboxed execution.

Experience:6+ yearsAIResearchAcademic collaboration

Education:PhD / Doctorate

Skills:CommunicationProblem-solvingLeadership

Languages:JapaneseEnglish

Tech Stack:CUDACUDA-XNeMoTensorRTTriton Inference ServerOmniverseNVIDIACUDA-X librariesNIMNemotronNeMo Agent ToolkitRAPIDSPyTorchPython

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

1 month ago

Developer Relations Manager - Higher Education & Research

✓ 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

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Develop strategic partnerships with leading research labs and principal researchers whose work aligns with our technology roadmap.
•Act as a trusted technical advisor for research labs, identifying and accelerating high-impact workloads by integrating NVIDIA frameworks, libraries, and core software stack into research projects.
•Stay current on research papers to anticipate trends and provide technical direction on future collaboration areas.
•Collaborate cross-functionally with Account Managers, Solution Architects, and Business Development teams to drive researcher enablement.
•Represent the needs of researchers internally by translating academic feedback into actionable insights that inform product development, education programs, and platform roadmaps.

Key Requirements

•PhD in Computer Science, AI, Machine Learning, Computational Science or related field, or equivalent research depth.
•6+ years of experience in research or industry at the AI/Science nexus.
•Deep expertise in applying AI, including Generative AI and Physical AI, to scientific domains.
•Strong understanding of frontier AI and computational science challenges.
•Hands-on experience building or evaluating AI systems using modern frameworks, APIs, orchestration tools, and sandboxed execution.

Experience:6+ yearsAIResearchAcademic collaboration

Education:PhD / Doctorate

Skills:CommunicationProblem-solvingLeadership

Languages:JapaneseEnglish

Tech Stack:CUDACUDA-XNeMoTensorRTTriton Inference ServerOmniverseNVIDIACUDA-X librariesNIMNemotronNeMo Agent ToolkitRAPIDSPyTorchPython

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