Validation / Verification Eng, Sr Staff Engineer- 18006
SynopsysAbout the role
We Are
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.
This role offers an opportunity to lead innovation in semiconductor product engineering while driving the development of next-generation NVM/OTP IP products.
You Are
As a Sr. Staff Product Engineer, you will lead the silicon validation of non-volatile memory/one-time programmable (NVM/OTP) intellectual property (IP) and associated blocks (analog circuits, power supplies, programming controllers, access ports/wrappers, and Built-In Self-Test (BIST) blocks).
You will provide technical leadership in test plan creation, programming algorithm development, data analysis and modeling, test optimization, and failure analysis. You will collaborate closely with cross-functional teams to complete Design Validation, Characterization, and Qualification test reports for NVM/OTP IP products.
What You'll Be Doing
- Lead the silicon validation effort for NVM/OTP IP products through Design Validation, Characterization, and Qualification phases.
- Define test coverage strategies for critical device functions and parameters, ensuring robust DC and AC characterization with optimized guard-banding techniques.
- Investigate and resolve complex functional and reliability issues, oversee silicon performance analysis, and drive root-cause failure analysis (FA) projects.
- Develop scripts to automate workflows, perform statistical analysis and data visualization, build performance and reliability models, and generate test reports.
- Drive continuous improvements in test efficiency and quality, DOE methodology, data analysis, and cost reduction through AI, innovation and automation.
- Collaborate with external test/reliability labs to complete test data collection and qualification (HTOL/HTSL) testing.
What You'll Need
- BS or MS in Electrical Engineering (preferred), Engineering Physics, Computer Science, or a related field.
- 8+ years of hands-on experience in semiconductor product/test engineering, with a strong background in NVM products.
- Experience with data analysis tools such as Spotfire, Minitab or JMP.
- Knowledge of memory fault models and advanced test methodologies for defect detection and reliability analysis.
- Experience with semiconductor test lab equipment: memory ATE testers (Credence Kalos 2 preferred), automated handlers, oscilloscopes, waveform analyzers, and micro-probing stations.
- Proficiency with scripting languages such as Python or Perl, with knowledge of memory pattern algorithm development for ATE MTO/ALPG hardware.
- Excellent communication and documentation skills, with a track record of mentoring engineers and collaborating across engineering teams.
- Experience in optimizing test efficiency, semiconductor data analysis, and writing silicon test reports.
- Strong analytical and problem-solving skills, with a proactive approach to resolving silicon debug and validation challenges.
The Impact You Will Have
- Your test plans will define how Synopsys qualifies and ships NVM and OTP IP that ends up in millions of devices, directly affecting product quality and time to market
- The programming algorithms and test methodologies you develop will become the foundation for how the team validates future memory IP generations
- Your failure analysis work will catch design issues early, saving months of respins and preventing costly field failures downstream
- The automation and scripting you build will free up engineering time across the validation team, letting them focus on harder problems instead of manual data wrangling
- Your mentorship will shape how junior engineers approach silicon debug, test coverage, and data-driven decision making
- The reliability models you create will inform design tradeoffs
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