Nvidia Senior Developer Relations Manager Capital Markets 

United States, Texas 

622825919

What you'll be doing:

• Be the technical authority for our capital markets ecosystem, ensuring flawless execution and impactful results.

• Collaborate with cross-functional teams, including solution architects, engineering, product management, and marketing, to successfully implement initiatives that drive engagement and growth of the ecosystem.

• Build and nurture relationships with quants, developers, partners, and industry leaders to foster a vibrant AI-driven capital markets community.

• Provide technical mentorship and support to quant researchers, developers, and financial engineers, helping them innovate and win using NVIDIA's technologies.

• Act as the voice of the developer, gathering insights and feedback to directly influence the product roadmap for NVIDIA's AI platforms and tools, ensuring they meet the evolving needs of the Capital Markets developer community.

• Coordinate and participate in events, webinars, and other activities to showcase our solutions and engage with the capital markets community.

What we need to see:

• MS/PhD in Computer Science or Engineering or equivalent experience

• 8+ years of experience in a major technology company or financial firm managing external partnerships or delivering libraries and SDKs

• Experience managing technical and business alliances across multiple partner groups and peer team(s)

• Deep knowledge of the capital markets ecosystem, workflows, and applicable high-performance computing and AI/ML technologies

• World-class communication skills with a demonstrated ability to clearly articulate sophisticated technical concepts to technical and non-technical audiences

Ways to stand out from the crowd:

• Hands-on background with quantitative finance and/or trading workflows, libraries, and SDKs

• Hands-on experience in high-performance computing environments, machine learning, and/or deep learning applied to finance

• Familiarity with NVIDIA’s libraries and SDKs (CUDA, CUDA-X, AI) and an understanding of how GPU acceleration can be applied to financial workloads.