NVIDIA Corporation

Senior Manager, Developer Relations - Higher Education and Research

NVIDIA Corporation$272K — $431K *
Education, Government & Non-Profit
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Computer Science, AI, Machine Learning, Computational Science, or equivalent experience.
  • 12+ years of industry and research experience, including 4+ years in developer relations or technical partnerships management.
  • Deep technical proficiency in foundational AI and domain-specific scientific applications.
  • Proven track record engaging senior research stakeholders with credibility.
  • Experience in driving platform adoption through community programs and collaboration across teams.

Responsibilities

  • Manage and mentor a team of Developer Relations Managers in AI for science.
  • Architect a comprehensive researcher engagement strategy with academic labs and consortia.
  • Establish relationships with PIs, lab directors, and institutional decision-makers.
  • Champion NVIDIA's full research platform to researchers and labs.
  • Develop NVIDIA's presence at major AI and scientific research venues and events.
  • Collaborate with global teams to align ecosystem strategy with researcher feedback.

Benefits

  • Eligible for equity and comprehensive benefits.
  • Opportunity to work with cutting-edge AI technologies and platforms.
  • Collaborate with top academic institutions and research labs.
  • Contribute to significant advancements in scientific discovery and AI integration.
  • Be part of a high-performing team in a rapidly evolving industry.
Full Job Description
NVIDIA is rapidly growing its presence across the research ecosystem, and we are seeking a visionary Developer Relations Senior Manager to lead our Higher Education and Research activities in the US. In this role, you will build and guide a high-performing team of Developer Relations Managers covering key scientific domains, partnering with leading academic labs and universities to accelerate discovery and adoption on NVIDIA platforms.

You will operate at the intersection of frontier AI research, scientific computing, and community engagement, championing NVIDIA's accelerated computing stack across the full research lifecycle, from frameworks and libraries, to foundation model development to domain-specific scientific AI applications.

What You'll Be Doing:
  • Manage and mentor a team of Developer Relations Managers to cover AI for science (life sciences, physics, robotics, quantum, climate). Set direction, remove blockers, and build a high-trust, high-performance team.
  • Architect a comprehensive researcher engagement strategy across academic labs, research consortia. Translate NVIDIA's platform roadmap into research-relevant opportunities and ensure NVIDIA remains the platform of choice for frontier research.
  • Establish positive relationships with PIs, lab directors, research computing leads, and institutional decision-makers. Understand technical needs and institutional dynamics that shape research priorities.
  • Champion NVIDIA's full research platform, from CUDA libraries to NeMo, BioNeMo, PhysicsNeMo, Earth-2, Omniverse, RAPIDS etc. Helping researchers unlock platform value across both AI model development and scientific discovery workloads.
  • Develop NVIDIA's presence at major AI and scientific research venues, such as NeurIPS, ICML, ICLR, SC, domain scientific conferences, and drive university engagements, workshops, and lab-facing programs.
  • Collaborate across Research Account Managers, Solution Architects, Product, Engineering, and Business Development to align ecosystem strategy with global priorities. Translate researcher feedback into actionable product and program insights.


What We Need to See:
  • PhD in Computer Science, AI, Machine Learning, Computational Science, or a related technical field, or equivalent experience.
  • 12+ overall years of industry and research experience, including 4+ years managing teams in developer relations, research engagement, or technical partnerships.
  • Deep technical proficiency across both foundational AI (LLMs, training, post-training, inference) and AI for science (domain AI applications, scientific computing, simulation).
  • Proven track record to engage senior research stakeholders with credibility and strategic intent.
  • Strong track record of driving platform adoption through technical enablement, community programs, and cross-functional collaboration in a matrixed environment.


Ways to Stand Out from the crowd:
  • Research Credibility: Publications, open-source contributions, or direct experience working on leading AI systems or scientific solutions based on AI.
  • Platform Depth: Hands-on experience with NVIDIA technologies including CUDA, TensorRT-LLM, Dynamo, NeMo, BioNeMo, PhysicsNeMo, Earth-2, Omniverse, RAPIDS, NIM, or GPU-accelerated computing systems.
  • Research ecosystem network: Established relationships with leading academic labs, research consortia and major open-source research communities.
  • Scientific Domain Expertise: Depth in one or more priority verticals, such as physics, bioscience, quantum computing etc, with the breadth to engage across domains.
  • Matrix Navigator: Demonstrated ability to operate independently and drive outcomes across a complex, fast-paced global organization.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 31, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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