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Network On Chip Architect Jobs (NOW HIRING)

System Performance Modeling Engineer

San Diego, CA · On-site

$106K - $145K/yr

This position is centered on system/platform architecture, with a strong emphasis on NoC (Network-on-Chip) topology architecture and system memory architecture (topologies, memory organization ...

SOC Platform Architect

San Diego, CA · On-site

$177K/yr

Create highly scalable SoC architecture in the area of Network-On-Chip, System MMU, Interrupts, Debug, Power Management & Security * Comprehend product requirements to steer generation of proper ...

Senior GPU Architect

Santa Clara, CA · On-site

$152K - $206K/yr

Experience with GPU architecture and/or Network-on-Chip (NoC)/Interconnect. Knowledgeable in system level functions such as reset and boot, DFT. * Consistent track record of efficiently implementing ...

Drive the architecture definition of one or more of the following ASIC sub-systems: compute, memory, Network-On-Chip (NoC), collectives, debug etc. and chiplet based multi-die SoCs * Identify ...

Senior GPU Architect

Santa Clara, CA · On-site

$152K - $206K/yr

Experience with GPU architecture and/or Network-on-Chip (NoC)/Interconnect. Knowledgeable in system level functions such as reset and boot, DFT. Consistent track record of efficiently implementing ...

Senior GPU Architect

Santa Clara, CA · On-site

$152K - $206K/yr

Experience with GPU architecture and/or Network-on-Chip (NoC)/Interconnect. Knowledgeable in system level functions such as reset and boot, DFT. * Consistent track record of efficiently implementing ...

An understanding in CPU or GPU architecture, memory systems, or network on-chip design. Experience in large-scale SW development projects and strong programming skills in C/C++ and Python or other ...

Drive the architecture definition of one or more of the following ASIC sub-systems: compute, memory, Network-On-Chip (NoC), collectives, debug etc. and chiplet based multi-die SoCs * Identify ...

An understanding in CPU or GPU architecture, memory systems, or network on-chip design. * Experience in large-scale SW development projects and strong programming skills in C/C++ and Python or other ...

An understanding in CPU or GPU architecture, memory systems, or network on-chip design. * Experience in large-scale SW development projects and strong programming skills in C/C++ and Python or other ...

Drive the architecture definition of one or more of the following ASIC sub-systems: compute, memory, Network-On-Chip (NoC), collectives, debug etc. and chiplet based multi-die SoCs * Identify ...

An understanding in CPU or GPU architecture, memory systems, or network on-chip design. Experience in large-scale SW development projects and strong programming skills in C/C++ and Python or other ...

Showing results 41-60

Network On Chip Architect information

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How much do network on chip architect jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for network on chip architect in the United States is $71.96, according to ZipRecruiter salary data. Most workers in this role earn between $62.26 and $83.41 per hour, depending on experience, location, and employer.

What is the difference between Network On Chip Architect vs FPGA Designer?

AspectNetwork On Chip ArchitectFPGA Designer
Required CredentialsBachelor's or Master's in Electrical Engineering or Computer Engineering; knowledge of digital designBachelor's or Master's in Electrical Engineering, Computer Engineering, or related; FPGA design certifications beneficial
Work EnvironmentDesign labs, hardware development teams, integrated circuit companiesHardware design firms, semiconductor companies, research labs
Industry UsageIntegrated circuit design, SoC development, hardware architectureFPGA development, prototyping, digital system design

The Network On Chip Architect focuses on designing communication architectures within integrated circuits, while the FPGA Designer specializes in creating digital logic designs on FPGA platforms. Both roles require strong digital design skills and collaborate closely in hardware development, but their specific focus areas and tools differ significantly.

What are popular job titles related to Network On Chip Architect jobs?

For Network On Chip Architect jobs, the most frequently searched job titles are:

Infographic showing various Network On Chip Architect job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 11% Part Time, and 7% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $149,680 per year, or $72 per hour.

Senior CPU Tooling and Design Automation Engineer

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 8 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

NVIDIA is looking for a Senior CPU Tooling and Design Automation Engineer! Do you want to help drive the development of CPU technology for architectures used for artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and autonomous vehicles? Come join the CPU tooling and design automation team and help us push boundaries for all our CPU products!

What you'll be doing:

  • Work on CAD tools development for the CPU/Fabric teams to improve efficiency

  • Develop Network-on-Chip (NoC)/SoC tooling, working closely with architects, chip leads and designers

  • Push the frontiers of NoC/SoC tooling to enable productivity improvements

  • Understand the chip design flow and distill this knowledge into feature requirements for tooling

  • Develop complex automation involving advanced graph algorithms leading towards more push-button solutions

  • Work with teams throughout the company (Architects, RTL, PD etc.) on implementing cross-team solutions to achieve project targets

  • Drive cross-team methodologies for deployment of this tooling

What We Need To See:

  • Bachelor's degree in Computer Engineering or Electrical Engineering (or equivalent experience)

  • 5+ years of relevant work experience in EDA tool development and developing flows

  • Proficiency with EDA style databases and basic graph algorithms

  • Experience with build flows such as Make and scripting languages

  • Experience deploying in-house EDA tools across groups, solving flow issues etc.

  • Strong interpersonal, communication and teamwork skills.

  • A drive to continuously learn and expand architectural breadth and depth

Ways to stand out from the crowd:

  • Background with Network-on-Chip tooling is a plus

  • Experience with netlist level tools is a plus

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 7, 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.

What Nvidia employees say

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Hours and flexibility

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Get the full story on Breakroom


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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US