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NVIDIA

Developer Relations Manager, Capital Markets

Reposted 5 Hours Ago
Be an Early Applicant
In-Office or Remote
2 Locations
124K-219K Annually
Junior
In-Office or Remote
2 Locations
124K-219K Annually
Junior
The Developer Relations Manager will lead technical initiatives in capital markets, fostering community engagement and driving growth using NVIDIA technology.
The summary above was generated by AI

We are seeking a highly technical and strategic Developer Relations Manager to join our team, focusing on the capital markets ecosystem. In this pivotal role, you will have the opportunity to work directly with quants, traders, developers, and IT professionals in financial firms, ISVs, and CSPs on delivering groundbreaking AI-first solutions powered by NVIDIA technology.

 

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); MBA is a strong plus.

  • 2+ years of experience in a major technology company or financial firm managing external partnerships or delivering libraries, benchmarks, 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, benchmark design, 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.

 

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, 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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 218,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 22, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

Top Skills

AI
Ai/Ml
Cuda
Cuda-X
High-Performance Computing
Nvidia Technology

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