We're hiring a Principal Developer Relations Manager to lead strategic engagements across developer ecosystems in rapidly evolving technology domains. In this role, you’ll help develop how NVIDIA partners with software providers, developers, and industry teams to expand the use of our AI and computing platforms. We're looking for someone with strong architectural depth who can guide partner product direction and support developers building on NVIDIA technologies. If you're passionate about influencing the next wave of AI and accelerated computing, we'd love to hear from you.
What You’ll Be Doing:
Establish and sustain advanced technical expertise in AI and data processing for advanced MarTech solutions, serving as the trusted advisor, strategic influencer, and technical authority across the developer ecosystem.
Collaborate multi-functionally to accelerate adoption of NVIDIA technologies, champion innovation, and define forward‑looking standards, architectures, and best practices.
Accelerate critically important workloads by architecting, demonstrating, and integrating the NVIDIA software stack (tools, libraries, SDKs, NIMs, and blueprints) into partner products, platforms, and pipelines to achieve measurable performance improvements and scale adoption across the ecosystem.
Guide partners through complex onboarding and integration by providing advanced technical assets. These include reference implementations, sample code, and demo pipelines. This support accelerates adoption of promotional and corporate information and enables co‑innovation of next‑generation, production‑ready solutions.
Engage senior technical leaders across partner organizations to promote best‑practice integrations and resolve complex architectural challenges. Build structured collaboration cadences to monitor adoption, identify emerging workflows, and provide strategic field insights that influence NVIDIA’s product and platform direction.
Mentor and technically upskill other Developer Relations Managers and engineers, running internal deep-dives, building reusable reference material from account takeaways, and raising the collective technical bar of the DevRel organization.
What We Need to See:
Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field
A minimum of 15+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, solutions architect, product management, including 8 of years of direct hands-on experience in CUDA, CUDA C++, GNN, SNN, CUTLASS, cuBLAS, collective communications (NCCL), InfiniBand fabrics (HCAs, SR-IOV, BlueField DPUs, UFM), and in-network reduction (SHARP) at multi-rack scale
Track record of strategizing, leading, and scaling global developer programs in partnership with major technology organizations and technically advanced ISVs, driving ecosystem adoption, strengthening partner alignment, and fostering long-term developer engagement.
Exceptional technical depth in NVIDIA software including GPU programming fluency below the framework layer, with the ability to read and reason about custom kernels, Tensor Cores, and low-precision (NVFP4/FP8) paths on current-generation architectures.
Extensive experience driving strategic technical collaborations with engineering and product teams—spanning architectural design, in‑depth code and design reviews, technical mentorship, and the delivery of high‑impact technical talks or workshops.
Proven ability to design and lead complex, multi‑stakeholder technical engagements—strategically negotiating requirements, resolving multi-functional priorities, and driving alignment across internal and external teams including engineering, product, sales, legal, and marketing.
Proficient in conveying complex technical concepts clearly to engineers and executives alike. Has end-to-end experience architecting, integrating, and co-commercializing solutions in partnership with strategic ISVs to drive ecosystem adoption and business impact.
Ways to Stand Out from the crowd:
Extensive hands-on experience architecting and optimizing complex, marketing and enterprise data solutions that advance performance, scalability, and industry best practices.
Hands-on with advanced AI and GPU-accelerated frameworks such as GPU-resident data structures and graph databases, network addressing stacks, GNN, SNN and high-throughput data pipelines and integrate them into commercial-grade platforms.
Proven history of defining technical vision and launching new developer ecosystems around accelerated computing or industry verticals.
Proven expertise in architecting scalable frameworks that synthesize developer sentiment and market evolution, transforming real-time ecosystem signals into strategic intelligence that shapes industry direction, informs product rationalization, and drives competitive positioning within the ecosystem
Experience working in customer-facing technical roles focused on technical evaluation, reproducer construction, and product integration with frontier or HPC customers running non-standard, custom-kernel workloads.
With competitive salaries 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!
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 or Master's degree or equivalent experience in Computer Science, Engineering, or related field
- Minimum 15+ years professional experience in technology roles (software engineering, developer relations, solutions architect, product management)
- At least 8 years direct hands-on experience with CUDA, CUDA C++, GNN, SNN, CUTLASS, cuBLAS, NCCL, InfiniBand fabrics (HCAs, SR-IOV, BlueField DPUs, UFM), and in-network reduction (SHARP) at multi-rack scale
- Exceptional technical depth in NVIDIA software and GPU programming below framework layer; ability to read and reason about custom kernels, Tensor Cores, NVFP4/FP8 paths
- Track record of strategizing, leading, and scaling global developer programs with major technology organizations and ISVs
- Extensive experience driving strategic technical collaborations including architecture design, code/design reviews, technical mentorship, and delivering technical talks or workshops
- Proven ability to design and lead complex multi-stakeholder technical engagements and drive alignment across engineering, product, sales, legal, and marketing
- Proficient communication of complex technical concepts to both engineers and executives; end-to-end experience architecting, integrating, and co-commercializing solutions with strategic ISVs
- Hands-on experience architecting and optimizing complex marketing and enterprise data solutions, GPU-accelerated frameworks, graph databases, and high-throughput data pipelines
- Proven history of defining technical vision and launching new developer ecosystems around accelerated computing or industry verticals
- Experience working with frontier or HPC customers on non-standard, custom-kernel workloads, technical evaluation, and reproducer construction
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.
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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.
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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.
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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.”
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