
Pioneering accelerated computing and AI
Developer Relations Manager, Higher Education and Research
We are seeking a dynamic, mission-driven Developer Relations Manager to engage leading research labs and universities. In this role, you will work directly with researchers, educators, and students to accelerate the adoption of NVIDIA’s sophisticated AI and computing platforms while expanding access to AI education.
The ideal candidate combines deep technical expertise with strong experience in academic engagement, a passion for developer engagement, and proven ability to translate advanced technologies into impactful, research and education-driven outcomes.
What you'll be doing
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Act as a trusted technical advisor at scale for academic and research communities, driving researcher enablement and democratizing access to AI education across universities through 1:few and 1:many engagement models.
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Identify and accelerate high-impact research workloads by delivering scalable, repeatable solutions that integrate NVIDIA’s core software stack into widely adopted academic pipelines and institutional platforms.
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Develop and scale technical enablement resources, such as curricula, guides, and reference pipelines, to support researcher productivity and democratize AI and HPC education across disciplines including materials science, computational chemistry, climate science, biosciences, and quantum computing.
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Nurture and grow the Ed Tech ISV ecosystem and drive product adoption with top ISVs.
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Map and continuously assess the academic and research ecosystem to identify growth opportunities, expand institutional adoption, and inform long-term education and technology strategies.
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Collaborate cross-functionally with solution architects, engineering, product, and marketing teams to drive researcher enablement programs and university engagement initiatives.
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Design and lead workshops, curriculum integrations, and hands-on training programs to deepen technical proficiency and broaden access to NVIDIA technologies across universities.
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Represent the needs of researchers, educators, and students internally by translating academic feedback into actionable insights that shape product development, education programs, and platform roadmaps.
What we need to see
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BS/MS/PhD in Computer Science, Physics, Chemistry, Engineering, or a related technical field, or equivalent experience demonstrating comparable depth.
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5+ years of experience in the technology sector, spanning software engineering, developer relations, technical partnerships, or hands-on development in accelerated computing environments.
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Strong domain expertise in high-performance computing and AI/ML, with exposure to scientific computing domains such as robotics, quantum computing, materials science, computational chemistry, climate science, or biosciences.
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Outstanding communication and influence skills, with the capability to convey complex technical concepts into clear, compelling narratives for academic audiences.
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Proven track record of driving complex technical engagements end-to-end.
Ways to stand out from the crowd:
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Experience with NVIDIA product stack (CUDA, CUDA-X Libraries, Physics NeMo, Omniverse)
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Successful history of building and scaling developer communities and delivering impactful technical enablement programs.
NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is committed to foster a diverse work environment and proud to be an equal opportunity employer!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 27, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
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NVIDIAについて

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
従業員数
Santa Clara
本社所在地
$4.57T
企業価値
レビュー
10件のレビュー
4.4
10件のレビュー
ワークライフバランス
2.8
報酬
4.5
企業文化
4.2
キャリア
4.3
経営陣
3.8
78%
知人への推奨率
良い点
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
改善点
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
給与レンジ
79件のデータ
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
7件のレポート
$170,275
年収総額
基本給
$130,981
ストック
-
ボーナス
-
$155,480
$234,166
面接レビュー
レビュー5件
難易度
3.0
/ 5
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
最新情報
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
reddit/blind
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NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
reddit/blind
·
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
reddit/blind
·
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
reddit/blind
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