Solutions Architect - Financial Service

Overview

• NVIDIA is leading company of AI computing.
• At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING.
• Our SA team is more focusing to bring NVIDIA new technology into difference industries.
• We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers.
• You will work closely with industry sales, developer relationship managers and product teams in the hiring position.
• What You’ll Be Doing: Conduct in-depth analysis of customers' latest needs and co-develop accelerated computing solutions with key customers.
• Assist in supporting industry accounts and driving research/influencing/new business in those accounts.
• Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team.
• Understand and analyze financial customers' workloads and demands for accelerated computing, including but not limited to: quant algorithms, portfolio optimization solving, trading algorithms, LLM training/inference acceleration and optimization, application optimization for Agent AI/RAG, kernel analysis, etc.
• Assist Top financial customers in onboarding NVIDIA's software and hardware products and solutions, including but not limited to: CUDA, CUDA-X, and our libraries etc.
• Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Agentic AI and other key applications.
• Be an internal champion for Data Analytics, Machine Learning, and Deep Learning among the NVIDIA technical community.
• What We Need To See: 3+ years’ experience with research/development/application of Machine Learning, data analytics, or HPC work flows.
• Outstanding verbal and written communication skills Ability to work independently with minimal day-to-day direction Knowledge of industry application hotspots and trends in AI and large models for financial field.
• Familiarity with financial technology stacks and common quant workflow optimization methods.
• C/C++/Python programming experience Desire to be involved in multiple diverse and innovative projects Experience using scale-out cloud and/or HPC architectures for parallel programming MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, Neuroscience, Experimental Psychology or equivalent experience.
• Ways To Stand Out From The Crowd: AIGC/LLM/NLP in financial field experience CUDA optimization experience.
• Experience with Deep Learning frameworks and tools.
• Engineering experience in areas such as model acceleration and kernel optimization.
• Extensive experience designing and deploying large scale HPC and enterprise computing systems.