Used Tools & Technologies
Not specified
Required Skills & Competences ?
Marketing @ 3 Machine Learning @ 3 Communication @ 3 Product Management @ 3 CUDA @ 2 GPU @ 2Details
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 work directly with quants, traders, developers, and IT professionals in financial firms, ISVs, and CSPs to deliver AI-first solutions powered by NVIDIA technology.
Responsibilities
- Serve as the technical authority for the capital markets ecosystem, ensuring flawless execution and impactful results.
- Collaborate with cross-functional teams (solution architects, engineering, product management, marketing) to implement initiatives that drive engagement and ecosystem growth.
- 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 to help them innovate using NVIDIA technologies.
- Act as the voice of the developer by gathering insights and feedback to influence the product roadmap for NVIDIA's AI platforms and tools.
- Coordinate and participate in events, webinars, and other activities to showcase solutions and engage with the capital markets community.
Requirements
- 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 teams.
- Deep knowledge of the capital markets ecosystem, workflows, and applicable high-performance computing and AI/ML technologies.
- World-class communication skills with the ability to clearly articulate sophisticated technical concepts to both technical and non-technical audiences.
Ways to stand out / Nice-to-have
- 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 libraries and SDKs (CUDA, CUDA-X, AI) and an understanding of how GPU acceleration can be applied to financial workloads.
Compensation and benefits
- Base salary ranges (determined by location and level):
- Level 2: 124,000 USD - 195,500 USD
- Level 3: 152,000 USD - 218,500 USD
- Eligible for equity and company benefits (see NVIDIA benefits).
Additional information
- Applications accepted at least until January 22, 2026.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to diversity.