Senior GPU Performance Architect, AI Applications

Posted 3 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior GPU Performance Architect will analyze and study the performance of AI applications, particularly large-scale generative models and neural graphics. Responsibilities include identifying bottlenecks in hardware features, improving architectural performance, developing innovative performance analysis tools, and collaborating with world-class architects to enhance graphics performance and efficiency.
Summary Generated by Built In

We are now looking for a Senior GPU Performance Architect, AI applications. NVIDIA GPU Architecture group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields, delivering the highest performance in the world for graphics processing.

A fast growing direction in our group is to study performance of large-scale generative AI models and neural graphics for gaming and physical simulation in order to deliver the highest full system performance in the world. We are constantly looking for ways to improve our architecture and maintain our leadership by developing new parallel programming models, new architectures and infrastructure that is required to make this successful.

What you’ll be doing:

  • Competitive analysis and performance studies of new use-cases, such as large-scale generative AI models, neural graphics for gaming and physical simulation, and VR/AR.

  • Performance analysis of graphics hardware features and APIs to identify bottlenecks, leading to recommendations for future architectures.

  • Deriving algorithms for tuning of games and content creation applications on existing hardware, possible prototyping of implementations.

  • Developing and enhancing innovative tools for architectural performance analysis and projections.

  • Working with other world-class architects on analysis, validation, and tuning of graphics architectures and features that advance the state of art in performance and energy efficiency.

What we need to see:

  • Masters, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, Artificial Intelligence, or related technical field. Ideally passionate about Deep Learning Algorithms and Computer Architecture.

  • 7+ years of relevant industry or research experience.

  • Skilled in GPU performance profiling, debug and test content development. Experience in applying ML/AI algorithms to applications, tools and workflows a plus.

  • Meaningful experience in real-time 3D rendering or ray tracing, knowledge of DirectX or OpenGL preferred. Familiarity with DirectML or USD a plus.

  • Strong programmer, proficient in Python, C++ and/or CUDA.

  • A strong foundation in mathematics, algorithms and data structures; and exposure to machine learning and deep learning fundamentals to complement your expertise in 3D Computer Graphics.

  • A great teammate; excellent problem solver, result-oriented with a positive attitude.

  • Curiosity to learn new things, and a passion for optimization.

  • Excellent communication and presentation skills.

  • Ability to collaborate effectively cross-team and drive to solutions with agility.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our products are leading the way with groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We have some of the most forward-thinking, innovative and hardworking people in the world working here. Are you creative, ambitious, self-motivated and love challenges? We want to hear from you!

#LI-Hybrid 

The base salary range is 180,000 USD - 339,250 USD. 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. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

C++
Cuda
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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