Senior DFX Infrastructure Engineer
at Nvidia
š Santa Clara, United States
USD 196,000-368,000 per year
Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 ā basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 ā daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 ā you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 ā exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 8
Machine Learning @ 4
Leadership @ 4
Networking @ 4
Perl @ 8
AI @ 4
- 1-2 ā basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 ā daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 ā you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 ā exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is the leader in AI, machine learning, and datacenter acceleration. NVIDIA is growing that leadership into datacenter networking, including ethernet switches, NICs, and DPUs. This role is in the DFX group developing scalable, detailed tools and workflows to support Silicon bringup and failure analysis (FA) teams.
Responsibilities
- Build, develop, test, and deploy internal infrastructure tools for ATE test vector release and fail analysis/diagnosis flows
- Work with DFT or equivalent experience, ATE bringup, and Silicon FA teams
- Build regression test cases to ensure flow robustness
- Support silicon bringup teams to ensure Bringup success
- Develop code to integrate new features into current tools
- Resolve tool bugs, check in and deploy fixes
Requirements
- BS degree in Computer Science or related technical field where coding/computer usage is required; or equivalent experience
- 10+ years of relevant experience
- In-depth ATE knowledge; Advantest 93k knowledge strongly desired; Teradyne UltraFlex preferred
- Ability to use AI assistant tools
- Excellent Perl and Python scripting skills; C++ knowledge is nice to have
- Track record of consistently producing original scripts and code
- Familiarity with SSN scan architecture and diagnostics flows
- Ability to debug existing internal code base
- Ability to work independently and collaboratively with team members and other teams
Ways to stand out
- Proactively help other teams
- Deliver high quality tools
- Be very detailed in checking results
- Communicate with clarity and thoughtfulness
- Willingness to work on new solutions
Compensation & Benefits
- Base salary ranges (location, experience, and level dependent):
- Level 5: 196,000 USD - 310,500 USD per year
- Level 6: 232,000 USD - 368,000 USD per year
- Eligible for equity and company benefits (link provided in original posting)
Other details
- Applications accepted at least until April 28, 2026
- NVIDIA uses AI tools in its recruiting processes
- NVIDIA is an equal opportunity employer and values diversity