Senior Tegra System Performance Architect

Posted 18 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior Tegra System Performance Architect will work on optimizing SoC applications, driving architectural decisions with modeling tools, profiling and debugging performance, and analyzing trade-offs. This role requires collaboration with various teams within NVIDIA.
Summary Generated by Built In

We are now looking for a Senior Tegra System Performance Architect! Do you want to be a part of the Artificial Intelligence Revolution? Would you like to work with world-class systems architects and deep learning experts to define the next generation SoCs?

NVIDIA is developing processor and system architectures that are at the forefront of accelerating machine learning, building autonomous vehicles, and enabling other high-performance computing applications. We are building the most advanced SoC's in the world for these applications and are looking for SoC architects to join our effort. In this position, you will have the opportunity to work with teams to maximize the potential of our SoC products, bringing together NVIDIA GPUs, custom processors and accelerators under the most extreme of conditions. Your role will be cross disciplinary, collaborating with other architects, software, ASIC design, verification, and platform teams. Our SoC architects excel at pushing the state of the art, while making the best engineering trade-offs.

What you’ll be doing:

  • Build and use architectural modeling tools to drive hardware architecture decisions

  • Work with product development teams to optimize application performance, taking advantage of diverse SoC hardware resources

  • Profile and debug SoC application performance, tracing through complex application/driver/OS software stacks

  • Model and debug SoC hardware performance pre and post-silicon

  • Model performance, perf@watt, and perf/area, and analyze tradeoffs throughout the design process

What we need to see:

  • You have an MS degree in computer or electrical engineering or equivalent experience

  • 5+ years of architecture and/or software development experience, mapping applications to complex SoC hardware

  • Very strong software development skills (C++) and a deep knowledge of OS/driver software stacks, e.g., Linux/QNX/Windows

  • Comfortable communicating and solving issues at different levels from micro-architecture to system and software architecture

  • Excellent analytical, written, and verbal interpersonal skills and ability to work as part of a global team

Ways to stand out from the crowd:

  • Additional software skills such as SystemC modeling, OS/driver/real time software development

  • Deep learning model development

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

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++
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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