Principal Developer Relations Manager – Marketing Technology Strategic ISVs

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 272,000 - 431,000

Full time

14 days+
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Job summary

NVIDIA Corporation seeks a seasoned Developer Relations Manager to lead technical engagement across the ecosystem. You will evangelize CUDA and GPU-accelerated workflows, guide partners through integration, and shape technical roadmaps with engineering and product teams.

Role requires 15+ years in tech, with 8+ years in CUDA/GPU domains, and proven global developer program leadership. Equity and growth opportunities accompany a competitive base salary.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 8+ years hands-on CUDA and GPU software experience across major frameworks.
  • Proven track record leading global developer programs with ISVs.
  • Deep knowledge of GPU kernels, Tensor Cores, and NVFP4/FP8 paths.

Responsibilities

  • Establish advanced technical expertise in AI and data processing for MarTech.
  • Collaborate to accelerate NVIDIA technologies and set standards and architectures.
  • Architect and integrate NVIDIA software stack into partner products for scale.
  • Provide advanced assets and reference implementations to onboarding partners.
  • Mentor DevRel and engineers; share reusable learnings and best practices.

Skills

CUDA
CUDA C++
GNN
SNN
CUTLASS
cuBLAS
NCCL
InfiniBand
SHARP
Multi-rack scale

Education

Bachelor’s degree or higher in CS/Engineering

Job description

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!

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 July 28, 2026.

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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

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