NVIDIA is seeking a skilled software engineer to join its Performance Lab, focusing on developing innovative software solutions for GPU accelerated workloads in the financial services industry. The team emphasizes collaboration and passion for technology, working with cutting-edge advancements in AI, graphics rendering, and datacenters. The role involves writing and maintaining containerized applications while analyzing benchmarking models at scale. Candidates will have the opportunity to work closely with financial AI models and contribute to impactful projects.

• Bachelor's degree in Computer Engineering, Software Engineering, Computer Science, or a related field, or equivalent experience with 8+ years of experience.
• Desire to improve code quality by learning and applying computer science fundamentals, algorithms, and data structures.
• Professional experience with Python.
• Working comfort in a Linux command-line environment with version control.
• Foundational understanding and interest in the machine learning lifecycle, including training, evaluation, and inference.

• Write and maintain containerized GPU accelerated workloads for the financial services industry.
• Run, validate, and analyze benchmarking models at scale on HPC clusters.
• Visualize performance data and build charts and dashboards using internal schemas and tooling.
• Work closely with financial AI models and tooling to help build reference models for NVIDIA.

• 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.