As a Global Account Manager, Developer Relations, you'll be responsible for the technical charter for expanding integration of NVIDIA's libraries and frameworks across one of our largest and most strategic partners. You will work with teams across NVIDIA and Meta to drive the integration of NVIDIA's libraries and frameworks into Meta’s platforms, aligning with their long-term business and technical goals. This highly visible position works with our product and engineering organization to deliver joint solutions that move the needle, and extends that impact through the technologies and projects the partner stewards.
The ideal candidate brings an outstanding blend of Meta ecosystem and large-scale AI infrastructure proficiency, a deep passion for developer advocacy, and strong technical account management experience.
What you’ll be doing:
Drive adoption of NVIDIA software libraries and frameworks across business, product, engineering, and research teams
Work closely with the NVIDIA account, developer relations, solutions architecture, and developer technology teams on product and engineering integration priorities and coordination
Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack into partner products, platforms, and pipelines. Guide and support the partner in integration by bringing NVIDIA's developer technology, engineering, solutions architecture and product resources to accelerate adoption and foster co-engineering of next-generation solutions
Engage technical leaders to drive best-practice integrations and resolve technical challenges, using regular syncs to track adoption, surface new workflows, and channel critical field insights back to NVIDIA product teams
Build strong relationships with executive and technical collaborators across partner organizations — from C-suite sponsors to the developers building production software
Advocate for NVIDIA software within partner’s executive leadership, architect, research and developer communities, driving early adoption of new tools, libraries, frameworks, and SDKs
Identify integration opportunities to deliver differentiated solutions and unique value propositions — particularly in inference optimization, model training, recommender systems, kernel-level performance, and data processing
Champion partner’s needs and perspectives within NVIDIA, influencing product strategy and roadmap
Act as NVIDIA's PIC (Pilot in Command) to lead cross-functional teams — including product management, engineering, solutions architects, developer relations, marketing, legal, sales, and ecosystem teams — ensuring partnership success
Grow adoption of NVIDIA libraries and frameworks upstream in the open-source projects the partner maintains and contributes to, and support downstream adoption across the ecosystem
What we need to see:
Bachelor's degree in Computer Science, Engineering, Electrical Engineering, or a related field, or a Master's degree or equivalent experience
12+ years of overall professional experience in the technology industry in developer relations, product management, technical partnerships, business development, solutions architecture, or systems and performance engineering, including 3+ years of direct hands-on experience in inference serving and efficiency improvements, machine learning model development, recommendation algorithms and ranking at scale, GPU kernel development, AI/ML software development, or data processing
Deep understanding of large-scale AI infrastructure — frontier model training and inference platforms, recommender and ranking systems, data processing platforms — and the software stack that runs them
Technical depth sufficient to engage partner research and performance engineering teams as a peer — able to reason about model architecture, kernel and attention implementations, distributed training and inference, and performance tradeoffs
Consistent record to structure and drive progress of complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal and external stakeholders across sales, legal, product, and marketing teams
Exceptional ability to distill complex technical concepts and articulate value propositions to audiences ranging from developers to C-suite executives, with end-to-end experience defining, integrating, building, and bringing solutions to market with strategic partners or open-source communities
Experience influencing partner product roadmaps
Ways to stand out from the crowd:
MBA or MS or PhD in computer science, electrical engineering or similar field
Familiarity with NVIDIA software libraries and platforms (e.g., CUDA-X, CUTLASS, CuTeDSL, cuEmbed, cuVS, cuDF, cuEquivariance, NCCL, NVSHMEM, NIXL, NVTrust, NVAttestation, TRT-LLM)
Contributor or maintainer standing in the open -source projects partners run in production — PyTorch, OpenAI Triton, vLLM, SGLang, Faiss, Presto/Velox
Experience engaging AI research organizations - publications, upstream contributions, or co-authored performance work
Deep experience working at or alongside Meta
With attractive compensation and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- Bachelor's degree in Computer Science, Engineering, Electrical Engineering, or related field (or Master's degree or equivalent experience)
- 12+ years professional experience in technology (developer relations, product management, technical partnerships, business development, solutions architecture, or systems/performance engineering)
- 3+ years direct hands-on experience in inference serving and efficiency improvements, machine learning model development, recommendation algorithms and ranking at scale, GPU kernel development, AI/ML software development, or data processing
- Deep understanding of large-scale AI infrastructure (model training and inference platforms, recommender and ranking systems, data processing platforms) and associated software stack
- Technical depth to engage partner research and performance engineering teams (model architecture, kernel/attention implementations, distributed training/inference, performance tradeoffs)
- Proven ability to structure and drive complex technical engagements, negotiate requirements, prioritize issues, and collaborate across sales, legal, product, and marketing
- Exceptional communication to translate complex technical concepts and articulate value to developers and C-suite; experience bringing solutions to market with strategic partners or open-source communities
- Experience influencing partner product roadmaps
- MBA, MS, or PhD in CS, EE, or similar field
- Familiarity with NVIDIA software libraries and platforms (e.g., CUDA-X, CUTLASS, cuDF, NCCL, TRT-LLM, etc.)
- Contributor or maintainer standing in open-source projects (PyTorch, Triton, vLLM, Faiss, Presto/Velox, etc.)
- Experience engaging AI research organizations (publications, upstream contributions, or co-authored performance work)
- Prior experience working at or alongside Meta
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
