Responsibilities and hands-on advocacy to grow AI/ML in payments using NVIDIA tools and partnerships.

• 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.

• Requirements: 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.

• Nice-to-have: Experience creating or optimizing vertical-specific technical solutions (e.g., fraud detection systems, recommender engines, customer service agents, etc.).
• Nice-to-have: 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.
• Nice-to-have: Hands-on familiarity with NVIDIA platforms and frameworks advanced computing, AI, and/or GPU acceleration platforms such as Dynamo-Triton, RAPIDS, NeMo, NIM.
• Nice-to-have: 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.
• Nice-to-have: Successful history of building and scaling developer communities and delivering impactful technical enablement programs.

• Benefits: With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers!
• Benefits: 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