Developer Relations Manager, Financial Services

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA +1 · Remote

NVIDIA is looking for a Principal Developer Relations Manager for Financial Services to lead strategic engagement with developers and software providers to accelerate the adoption of NVIDIA's AI and computing platforms. The role involves acting as a technical advisor, integrating NVIDIA's software stack into partner products, guiding partners through onboarding, analyzing the developer ecosystem, and collaborating with internal teams and partners to drive AI adoption in financial services.

What you'd actually do

  1. Build deep financial‑services expertise to serve as a trusted technical advisor and drive ecosystem‑wide adoption of NVIDIA technologies.
  2. Accelerate critically meaningful workloads by architecting, demonstrating, and integrating the NVIDIA software stack (tools, libraries, SDKs, NIMs, and blueprints) into partner products, platforms, and pipelines to drive performance breakthroughs and scalable adoption.
  3. Guide partners through sophisticated onboarding and integration initiatives by delivering advanced technical resources—such as reference implementations, sample code, and demo pipelines—to accelerate financial services adoption and drive co‑innovation of next‑generation, production‑ready solutions.
  4. Analyze and shape the developer ecosystem to identify emerging growth opportunities, collaborating multi-functionally with engineering, product management, and marketing to influence product roadmaps and optimize large‑scale partner adoption strategies.
  5. Engage partner senior technical leaders to drive best‑practice integrations and resolve sophisticated architectural challenges, establishing ongoing collaboration rhythms to track adoption, uncover emerging workflows, and deliver critical field insights that shape NVIDIA’s product and platform strategy.

Skills

Required

  • Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field.
  • 15+ years tech industry experience
  • 7+ years hands‑on AI development in financial services using NVIDIA technologies for large‑scale training, simulation, and analytics.
  • Proven success building and scaling global developer programs with major tech and financial ISV partners.
  • Strong background in AI/ML development, CUDA‑X libraries, and large‑scale training/inference frameworks with contributions to core integrations.
  • Extensive experience leading strategic technical collaborations—architecture design, code reviews, mentorship, and high‑impact technical presentations.
  • Proven success designing and leading 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.
  • Skilled at explaining complex technical concepts across audiences and co‑commercializing solutions with strategic ISVs.

Nice to have

  • Hands‑on experience optimizing capital markets and financial services applications (risk modeling, fraud detection, algo trading, portfolio optimization, real‑time analytics), improving performance, scalability, and reliability for large-scale financial institutions.
  • Expertise with advanced GPU-accelerated data science and AI frameworks including CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NVIDIA NeMo, and NIM microservices, and integrating these technologies into production trading systems, quantitative research platforms, and enterprise financial analytics environments.
  • Track record designing real‑time market data systems, ultra‑low‑latency trading pipelines, fraud detection, and large‑scale risk simulations on accelerated compute.
  • Demonstrated success building developer ecosystems across banks, hedge funds, FinTech's, and capital‑markets ISVs to scale GPU‑accelerated AI adoption.

What the JD emphasized

  • hands‑on AI development in financial services using NVIDIA technologies for large‑scale training, simulation, and analytics
  • Strong background in AI/ML development, CUDA‑X libraries, and large‑scale training/inference frameworks with contributions to core integrations.
  • Proven success designing and leading complex, multi‑stakeholder technical engagements

Other signals

  • Drive adoption of NVIDIA's advanced AI and computing platforms
  • Accelerate critically meaningful workloads by architecting, demonstrating, and integrating the NVIDIA software stack
  • Partner closely with Financial Services IBDs, Account Managers, and Solution Architects to identify the highest-impact Capital Markets platforms and developers building AI-driven trading, risk, and analytics applications.