Nvidia is hiring a
Accelerated Compute Systems Performance Architect
We are now looking for an Accelerated Computing Performance Architect! NVIDIA is developing system architectures for accelerated high performance computing, scientific computing, machine learning, AI, datacenter and automotive computing. We are looking for 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.
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 and deliver cutting edge technology for several domains such as Scientific Computing, Databases, Finance, Life Sciences, etc.
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.
Develop tools, infrastructure and methodologies for measurements, comparison and reports.
Generate projections, comparison and analysis reports for internal/external consumption.
What we need to see:
MS or PhD (or equivalent experience) in Computer Science, Electrical Engineering or Computer Engineering or related relevant STEM degree.
5+ years of 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, global team. A history of mentoring junior engineers and interns is 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”.
Do you love the challenge of crafting the highest-performance silicon possible? If so, we want to hear from you! Come, join our Accelerated and Resilient Compute Systems team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.The base salary range is $144,000 - $270,250. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits.
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