Nvidia Senior Accelerated Computing Architect 

United States, California 

543171128

What you'll be doing:

• Collaborate across the company to guide the direction of Accelerated Computing HW/SW by working with architecture, software and product teams.

• Drive efforts to optimize and deliver high performance for key AI and HPC benchmarks on large scale systems.

• Co-design and accelerate benchmarks and application by identifying and alleviating top compute, node, and network issues. Invent new techniques to mitigate these performance limiters.

• Generate projections and analysis reports for internal/external consumption

• Drive and deliver groundbreaking technology for several HPC domains such as AI, Scientific Computing, Databases, Finance, Life Sciences, etc..

What we need to see:

• You have a PhD (or equivalent experience) with 5+ years in Computer Science, Electrical Engineering or Computer Engineering or related relevant STEM degree.

• Experience in delivering performance on large scale systems for AI/HPC applications

• Experience in hardware/HPC performance analysis and/or architecture.

• Familiarity with GPU architecture computing and/or algorithm analysis and parallel programming models.

• Good organizational, time management and task prioritization skills displayed in your work.

• Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team. A history of mentoring junior engineers and interns a huge plus.