Senior GPU Architect

Posted Yesterday
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka
Mid level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior GPU Architect will advance GPU Architecture and simulators, develop test plans, create tools for validating performance models, and debug tests on architecture simulators. The role demands strong programming skills in C, C++, and Python, along with a solid understanding of data structures and algorithms.
Summary Generated by Built In

NVIDIA’s invention of the GPU in 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.” We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. In this position, you'll be responsible for developing and enhancing various features in the GPU architecture.

What you will be doing:

  • Contribute to advancing GPU Architecture and Simulators, GPU testing infrastructure, metrics, and/or compilers.

  • Understand and model in C++, features for future graphics and parallel processing architectures.

  • Develop test plans and testing infrastructure.

  • Debug tests on architecture simulators.

  • Develop tools to validate performance models and verify functional models.

What we need to see:

  • A Masters/Bachelor’s degree in CS or Math, with 3+ years of relevant experience in Computer Architecture, Compilers, Parallel programming or related field.

  • Ability to work with teams spanning both hardware and software boundaries.

  • Strong programming ability in C, C++, and Python.

  • Strong understanding of data structures and algorithms.

Ways to stand out from the crowd:

  • Experience in graphics algorithms, compilers, and/or signal processing.

  • Programming in CUDA, DX and Vulkan

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation.

Top Skills

C
C++
Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 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, NVIDIA is increasingly known as “the AI computing company.”

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