The Financial Services Solution Architect team at NVIDIA is seeking a skilled individual to join their experienced group of Quants and Data Scientists. This role focuses on engaging with the finance industry to accelerate High-Performance Computing and AI workloads. The ideal candidate will work closely with clients, engineers, and architects to optimize machine learning models and ensure the best performance on GPU architectures. This position emphasizes collaboration, customer satisfaction, and the development of innovative solutions in the financial services sector.

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience
• 12+ years of experience as an ML/Software Engineer with a proven track record in writing code in Python and C++
• Experience with ML/DL algorithms using frameworks such as PyTorch, Spark, Dask, Jax, and TensorFlow
• Ability to communicate ideas and share code clearly through blog posts and GitHub
• Effective verbal and written communication and technical presentation skills
• Self-starter with a passion for growth and continuous learning
• Skilled in deploying ML/DL models at scale on public cloud computing and/or on-prem HPC clusters in production

• Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers
• Perform proof-of-concepts working side by side with clients, engineers, and other architects
• Work directly with client ML researchers and developers on business-impacting workflows
• Facilitate rapid resolution of customer issues and promote high levels of customer satisfaction
• Build collateral applied to Finance industry use-cases by working closely with customers

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.