Senior Design for Debug Architect and Methodology Engineer

Reposted Yesterday
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2 Locations
In-Office
168K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior DFD Architect will architect silicon debug capabilities for NVIDIA's GPUs, drive efficiency improvements, mentor junior engineers, and collaborate with cross-functional teams to enhance debug features.
Summary Generated by Built In

We are now looking for a Senior Design for Debug (DFD) Architect and Methodology Engineer!

NVIDIA is seeking a DFD Architect to implement hardware and software solutions to debug world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a multifaceted, technology-focused company with product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We are a team that constantly evolves by adapting to new opportunities and find creative solutions to difficult problems.

What you'll be doing:

  • As a key member of the GPU DFD team, you will architect and implement silicon debug capabilities and infrastructure for our GPUs.

  • Identify debug inefficiencies and deficiencies.

  • Drive exploration of silicon debug features, specify the architecture and track execution by collaborating with many other teams at NVIDIA.

  • Work closely with software, architecture, design, verification, and silicon validation teams.

  • Train and mentor junior engineers and the team in silicon debug.

  • Review new features from a DFD perspective to improve GPU debuggability.

  • Help verify DFD hardware at full-chip level.

What we need to see:

  • Bachelors Degree or equivalent experience in Electrical Engineering, Computer Engineering or Computer Science.

  • 8+ years of meaningful work experience.

  • Experience in Computer Architecture and RTL development (Verilog), focused on arbiters, scheduling, synchronization & bus protocols, interconnect networks and/or caches.

  • Expertise in design for debug techniques and methodologies, integrated logic analyzers and/or other silicon visibility tools.

  • Great understanding of ASIC design flow including RTL design, verification, logic synthesis, timing analysis and bringup.

  • Strong interpersonal skills and an excellent teammate.

Ways to stand out from the crowd:

  • Strong C/C++, Python, Typescript or Javascript skills.

  • Good debugging and analytical skills.

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 are creative, autonomous and love a challenge, we want to hear from you.

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

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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

Asic Design
C
C++
Integrated Logic Analyzers
JavaScript
Python
Silicon Debug Techniques
Typescript
Verilog
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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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