Senior Accelerated Computing Architect

Details

We are now looking for an Accelerated Computing Architect!

NVIDIA is developing system architectures for accelerated high performance computing, scientific computing, machine learning, AI, datacenter and automotive computing. We are seeking an experienced performance architect to join our Accelerate Computing performance analysis effort. This position offers you the opportunity to make a meaningful impact in a fast-moving, technology focused company.

Responsibilities

• 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..

Requirements

• 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.

NVIDIA’s invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.”

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. Are you creative and autonomous? Do you love the challenge of pushing an architecture to its limits? If so, we want to hear from you.