We are seeking a Staff/Principal Solutions Architect to define and lead the technical strategy for semiconductor test. This covers wafer and package test operations from start to finish. This senior individual contributor role is central to our manufacturing and product engineering teams. You will lead the architectural vision for device testing from wafer probe to final package test. Your directive includes modernising test infrastructure, improving yield, and embedding data-driven intelligence throughout the test lifecycle. You will partner closely with development, process, product engineering, and manufacturing teams across sites to ensure our test strategy scales with increasingly complex device portfolios.
What You'll be doing:
Define the comprehensive test development strategy across wafer-level (probe/ATE) and package/final/qual test for new and existing product families.
Lead architectural trade-off decisions on test coverage, test time, cost of test, and quality escapes across the full test flow.
Establish architectural guidelines for the test program, Test Methods/Class structure, modularity, and reuse across ATE platforms (Advantest, Teradyne, etc.).
Serve as the senior liaison between build and test engineering for DFT architecture decisions — scan, BIST, JTAG, boundary scan, and embedded compression.
Influence SoC and IP build reviews to ensure testability, observability, and debug-ability
Drive adoption of AI/ML techniques for yield learning, outlier detection, predictive binning, and test time optimization.
Define and maintain test roadmaps aligned to device technology roadmaps and manufacturing scale targets.
Mentor senior and principal test engineers; cultivate technical standards and guidelines across the test organisation.
Engage with ATE vendors, test IP providers, and industry consortia (SEMI, JEDEC, IEEE) on emerging standards and technology directions.
What we need to see:
15+ years of hands-on semiconductor test engineering experience within a fab, IDM, or OSAT environment.
Extensive knowledge in at least three of the following areas: ATE platform architecture, test program development, DFT methodology, yield analysis, or test data/ML analytics.
Skilled in leading ATE platforms such as Advantest V93000, Teradyne UltraFLEX/ETS, or similar systems.
Strong background in DFT architectures — scan compression, MBIST, LBIST, JTAG, and related methodologies.
Experience with mixed-signal, RF, or high-speed I/O test is highly valued.
Proficiency in test-related scripting and automation (Python, Perl, C++, or platform-native languages).
Proven ability to lead multi-site technical initiatives involving multi-functional teams and influence without direct authority.
MSEE, MSCE, MSCS, or related field (or equivalent experience).
Ways to stand out from the crowd
Experience applying ML/AI to yield analysis, PAT/GDBN outlier screening, or adaptive test.
Knowledge of test data formats (STDF, ATDF) and analytics tools (JMP, Spotfire, or custom).
Exposure to advanced packaging test challenges (2.5D/3D, chiplets, KGD).
Prior engagement with SEMI standards committees or ATE vendor co-development programs.
Ph.D or equivalent experience in related field
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most thoughtful and dedicated people in the world working for us. Due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, 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 216,000 USD - 345,000 USD.You will also be eligible for equity and benefits.
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
- 15+ years of hands-on semiconductor test engineering experience
- Extensive knowledge in ATE platform architecture, test program development, DFT methodology, yield analysis, or test data analytics
- Skilled in leading ATE platforms such as Advantest and Teradyne systems
- Strong background in DFT architectures including scan compression and JTAG
- Proficiency in test-related scripting and automation languages
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
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.”

.png)






