For over 25 years, NVIDIA has revolutionized computer graphics, PC gaming, and accelerated computing. It’s a unique legacy of innovation that’s fueled by great technology —and outstanding people.
We are seeking a highly technical and strategic Senior Developer Relations Manager to join our Financial Services team, with a focus on engaging payments developer ecosystems across emerging technology domains. In this role, you will partner with developers at software solution providers, payment networks, payment acquirers, bank issuers, and FinTechs, to encourage adoption of NVIDIA’s advanced AI and computing platforms. The ideal candidate brings a blend of deep technical expertise, industry knowledge, and commercial go-to-market experience. They are also passionate about developer advocacy and skilled at communicating how NVIDIA technology solves complex, real-world challenges.
What You'll Be Doing:
Build and deepen technical expertise in AI/ML workloads in payments, serving as a technical advocate and trusted resource for developers in payments, with multi-functional partners to drive adoption of NVIDIA technologies.
Demonstrate and integrate NVIDIA’s software stack (tools, SDKs, libraries, NIMs, and blueprints) into real-world partner or developer projects to accelerate adoption.
Support developers and partners through onboarding and integration by providing code samples, guides, demo pipelines, and hands-on assistance that enable payments-specific use cases.
Research and monitor developer ecosystem trends (both payments and AI/ML wise) to identify opportunities for growth, sharing insights with engineering, product, and marketing teams to improve adoption strategies.
Collaborate with partner technical leaders and internal engineering stakeholders to solve challenges, guide best-practice integrations, and feed technical takeaways back to NVIDIA teams.
Be the leading voice for helping payment firms to adopt NVIDIA technologies, encouraging co-innovation and the development of next-generation AI/ML led payments solutions for use cases such as fraud detection, personalization, agentic commerce etc.
Present NVIDIA’s work in payments to technical audiences at leading events and industry conferences.
What We Need to See:
Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field.
A minimum of 5+ years of overall professional experience in the technology industry in software engineering, data science/machine learning, developer relations, technical partnerships, solutions architect, product management including 3+ years of direct hands-on experience in financial services.
Experience working with or supporting developer programs, technical ecosystems, or financial services or payments ISVs, or within relevant verticals.
Proficiency in AI/ML algorithms and pipelines, cloud services, and familiarity with modern software frameworks or SDKs.
Comfort collaborating with multi-functional teams to discuss architecture, share feedback, do code reviews, provide technical mentorship and deliver technical presentations or demos.
Ability to manage and implement technical projects, tackle integration challenges, and effectively communicate complex ideas to both technical and non-technical audiences with a passion for education.
Ways to Stand Out from the Crowd:
Experience creating or optimizing vertical-specific technical solutions (e.g., fraud detection systems, recommender engines, customer service agents, etc.).
Deep exposure and/or hands on experience with any or all of the following workloads: Graph Neural Networks, tabular transformers, agentic pipelines, RL based finetuning, optimized GenAI inference.
Hands-on familiarity with NVIDIA platforms and frameworks advanced computing, AI, and/or GPU acceleration platforms such as Dynamo-Triton, RAPIDS, NeMo, NIM.
Skilled in developing systems and tools to measure developer sentiment and track market trends, turning ecosystem insights into practical recommendations that guide product direction and overall planning.
Successful history of building and scaling developer communities and delivering impactful technical enablement programs.
With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field
- Minimum 5+ years professional experience in technology industry
- 3+ years direct hands-on experience in financial services/payments
- Experience in software engineering, data science/ML, developer relations, technical partnerships, solutions architecture, or product management
- Experience working with or supporting developer programs, technical ecosystems, or payments ISVs
- Proficiency in AI/ML algorithms and pipelines, cloud services, and familiarity with modern software frameworks or SDKs
- Ability to collaborate with multi-functional teams, perform code reviews, provide technical mentorship, and deliver technical presentations or demos
- Ability to manage and implement technical projects, tackle integration challenges, and communicate complex ideas to technical and non-technical audiences
- Experience creating or optimizing vertical-specific technical solutions (fraud detection, recommender engines, customer service agents, etc.)
- Deep exposure or hands-on experience with Graph Neural Networks, tabular transformers, agentic pipelines, RL-based finetuning, or optimized GenAI inference
- Hands-on familiarity with NVIDIA platforms and frameworks such as Dynamo-Triton, RAPIDS, NeMo, NIM
- Skilled in developing systems and tools to measure developer sentiment and track market trends
- Proven history of building and scaling developer communities and delivering technical enablement programs
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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