Solutions Architect, Financial Services - Remote

Overview

The Financial Services Solution Architect team is looking for an extraordinary person to join an experienced team of Quants and Data Scientists, engaging the finance industry with compelling examples of full-stack accelerated computing.

In Short

• Perform proof-of-concepts with clients, engineers, and architects.
• Analyze and optimize AI models for performance on GPU architectures.
• Work with client Data Scientists and developers on impactful workflows.
• Create collateral for Finance industry use-cases such as Generative AI and Quantitative Finance.
• Collaborate with industry partners to build GPU-accelerated solutions.
• Partner with NVIDIA teams to secure design wins.
• Enable development of NVIDIA product features through customer feedback.
• Communicate ideas clearly through blog posts and GitHub.
• Enjoy working across multiple teams within the organization.
• Be a self-starter with a passion for continuous learning.

Requirements

• BS/MS/PhD in Computer Science, Engineering, or equivalent experience.
• 5+ years experience as an ML/Software Engineer.
• Proficient in Python and C++.
• Experience with ML/DL algorithms and frameworks.
• Effective verbal and written communication skills.
• Ability to present technical ideas clearly.
• Experience with deploying ML/DL models at scale.
• Familiarity with NVIDIA software libraries.
• Knowledge of MLOps technologies like Docker and Kubernetes.
• Experience with AI, HPC, or data analytics applications.

Benefits

• Equity and benefits eligibility.
• Diverse work environment.
• Opportunity to work with top minds in the industry.
• Access to cutting-edge technology and projects.
• Continuous learning and growth opportunities.