Senior Solutions Architect, Financial Services Capital Markets

What you'll do

• Partner with internal engineering and sales teams to secure design wins at customer sites.
• Perform proof-of-concepts to analyze and optimize machine learning models for GPU architectures.
• Work directly with client researchers to resolve issues on business-impacting workflows.
• Facilitate rapid resolution of customer technical issues to ensure high satisfaction.
• Build technical collateral like notebooks and blogs for finance-specific use cases.
• Deploy ML/DL models at scale on public cloud computing and on-prem HPC clusters.

What we're looking for

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience).
• 12+ years 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, or TensorFlow.
• Skilled in deploying ML/DL models at scale on public cloud computing and/or on-prem HPC clusters in production.
• Effective verbal and written communication skills with the ability to share code clearly through blog posts and GitHub.
• Demonstrate C/C++ programming proficiency with an understanding of software design, programming techniques, and algorithms (preferred).
• Familiarity with NVIDIA GPU architectures (preferred).
• GPU Development experience through NVIDIA CUDA-x libraries, cuBLAS, and cuDNN (preferred).