Developer Relations Manager, Financial Services

NVIDIA•Us, CA

22d

About The Position

NVIDIA is seeking an accomplished and visionary Principal Developer Relations Manager, Financial Services to lead strategic engagement across large scale developer ecosystems within emerging technology domains. In this highly influential role, you will define and drive the technical strategy for partnering with software solution providers, developers, and industry innovators to accelerate adoption of NVIDIA’s advanced AI and computing platforms. The ideal candidate combines deep architectural and domain expertise with proven success to influence industry direction, guide partner product strategies, and inspire developers worldwide to build on NVIDIA technologies that are shaping the future of computing.

Requirements

Bachelor’s or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
15+ years tech industry experience, including 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 Haves

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.

Responsibilities

Build deep financial‑services expertise to serve as a trusted technical advisor and drive ecosystem‑wide adoption of NVIDIA technologies.
Partner multi-functionally to accelerate adoption of NVIDIA technologies, drive technical innovation, and shape ecosystem‑wide standards and guidelines.
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.
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.
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.
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.
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.
Work directly with developers at top financial ISVs (Bloomberg, FactSet, Nasdaq, S&P Global) to accelerate integration of NVIDIA AI and compute technologies.
Collaborate with data and AI partners (e.g., Databricks, Snowflake) to help scale GPU-accelerated financial analytics, quantitative modeling, and up-to-the-minute market intelligence workloads.