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NVIDIAPosted 1 month ago

Principal Developer Relations Manager – Marketing Technology Strategic ISVs

$272,000–$431,250 year

RemoteCalifornia, United States or Santa Clara, California, United States

Full TimeSenior LevelMasters DegreeEnterprise

Job Summary

Establish and sustain advanced technical expertise in AI and data processing for advanced MarTech solutions, serving as the trusted advisor and technical authority across the developer ecosystem. Architect, demonstrate, and integrate the NVIDIA software stack into partner products to achieve measurable performance improvements and scale adoption. Collaborate multi-functionally to accelerate technology adoption, champion innovation, and define forward-looking standards and best practices. Guide partners through complex onboarding by providing reference implementations, sample code, and demo pipelines to enable co-innovation of production-ready solutions. Engage senior technical leaders to promote best-practice integrations, resolve architectural challenges, and build structured collaboration cadences to monitor adoption and provide strategic field insights. Mentor and technically upskill other Developer Relations Managers and engineers by running internal deep-dives and building reusable reference material from account takeaways.

Required Qualifications

  • 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
  • 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
  • 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

Desired Qualifications

  • 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

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