Senior Solutions Architect

Job Summary

Working remotely in a full-time capacity, the Senior Solutions Architect will engage with financial services clients to drive the adoption of NVIDIA's accelerated computing technologies, collaborating with engineering and sales teams to deliver proof-of-concept evaluations and optimize machine learning workflows.

Key responsibilities

• Partner with internal teams to secure design wins and enhance product features based on customer feedback
• Conduct in-depth analysis and optimization of machine learning models alongside clients and engineers
• Create industry-specific collateral such as notebooks and blogs, focusing on use cases in quantitative finance and machine learning

Required qualifications

• BS/MS/PhD in Computer Science, Engineering, Mathematics, or equivalent experience
• 8+ years of experience as an ML/Software Engineer with proficiency in Python and C++
• Experience with machine learning frameworks such as PyTorch, TensorFlow, and Spark
• Skilled in deploying ML models at scale on public cloud or on-prem HPC clusters
• Ability to effectively communicate technical concepts through blog posts and GitHub