Senior System and Scheduling Architect – GPU

Posted 6 Hours Ago
Be an Early Applicant
Santa Clara, CA, USA
Hybrid
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Designs next-generation GPU system interfaces and process scheduling architecture. Responsibilities include coordinating hardware, software, and verification teams; creating C++ functional and performance models; developing validation test plans; understanding GPU subsystem interactions; and supporting post-silicon validation. The role requires expertise in computer or system architecture, operating systems, and C/C++ development, with opportunities to work across AI, graphics, autonomous driving, and advanced GPU technologies.
Summary Generated by Built In

We are now looking for a Senior GPU system and process scheduling architect! NVIDIA is seeking outstanding system architects to design the next generation GPU system interface. This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting the field of artificial intelligence and product lines ranging from consumer graphics to self-driving cars. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.


What you’ll be doing:

  • As a member of the architecture team, you will be responsible for understanding how the GPU sub-system modules interoperate and interact with overall system
  • You will architect and plan features in concert with software, hardware, and verification teams across the globe to implement the next iteration of GPUs
  • Create functional and performance models, often in C++, along with test plans to validate the features you design
  • Actively support post-silicon validation activities
  • Constantly learning and growing!

What we need to see:

  • BS or MS in Compute Architecture, Computer Science, or Electrical Engineering (or related degree) or equivalent experience
  • 5+ years of meaningful work experience
  • Work experience coding in C or C++
  • Course work or industry experience in Computer Architecture, Operation systems, and/or system architecture

Ways to stand out from the crowd:

  • Knowledge of memory isolation and security, firmware, process scheduling, OpenGL, DX, CUDA, DL/ML, PCIe, AXI, NVLink, and/or CXL
  • Knowledge of Perl or Python

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. Do you want to work at the boundary of software, hardware, and forefront of technology? Would you love the challenge of crafting the highest performance chips in the industry? If so, we want to hear from you.


#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 27, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Skills Required

  • BS or MS degree in Compute Architecture, Computer Science, Electrical Engineering, a related field, or equivalent experience
  • 5+ years of meaningful work experience
  • Work experience coding in C or C++
  • Coursework or industry experience in computer architecture, operating systems, and/or system architecture
  • Knowledge of memory isolation and security, firmware, process scheduling, OpenGL, DirectX, CUDA, deep learning or machine learning, PCIe, AXI, NVLink, and/or CXL
  • Knowledge of Perl or Python

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
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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