Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Machine Learning
Networking
Perl @ 6
Python @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — 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.
We are now looking for a highly motivated and dedicated Senior DFT Infrastructure Engineer to join our DFX group. You will join this multifaceted and innovative DFX team to develop the next generation of scalable, detailed tools and workflows. These tools will support various Silicon bringup and 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, Silicon FA teams
- Build regression testcases 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; proven ability in related field (or equivalent experience)
- 10+ years of relevant experience
- In depth ATE knowledge. Advantest 93k knowledge strongly desired, Teradyne Ultraflex preferred, and ability to use AI assistant tools
- Excellent Perl, Python scripting skills. C++ knowledge is nice to have
- Track record showing consistently producing original scripts, code
- Familiarity with SSN scan architecture, diagnostics flow
- Ability to debug existing internal code base
- Ability to independently work on your own
- Collaborative with team members and other teams
Benefits
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 196,000 USD - 310,500 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6.
- You will also be eligible for equity and benefits.
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