Upscale AI
Design Verification Engineer
$212K–$246K
US - Santa Clara, CA · On-site · Full-time · Posted Jul 1, 2026
- Experience
- 10+ years of industry experience with a bachelor's degree, or 7+ years of relevant experience with a master's degree.
- Education
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or a Master's degree.
About the job
Verifies complex ASIC designs at block and chip levels, building verification environments and using coverage, simulation, formal methods, and AI-assisted techniques to improve design quality and efficiency.
What you'll do
- Develop verification environments, testbenches, plans, test cases, and reusable verification components for block- and system-level designs.
- Verify RTL using directed and constrained-random testing, assertions, formal techniques, functional coverage, and gate-level simulation; analyze coverage and debug issues.
- Improve verification workflows and infrastructure, including applying data analytics and AI-assisted techniques to test generation, regression analysis, coverage optimization, and debugging.
What they ask for
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field with 10+ years of industry experience, or a Master's degree with 7+ years of relevant experience.
- Proven experience verifying complex ASIC designs at block and system levels.
- Strong proficiency with SystemVerilog and the Universal Verification Methodology (UVM).
- Experience with verification planning, functional coverage, assertion-based verification, constrained-random verification, and regression management.
Nice to have
- Domain knowledge of Ethernet, PCIe, and switch fabric architectures.
- Familiarity with data analytics, AI/ML-assisted verification techniques, or automation tools.
Pay
USD 212,000–246,000 per-year-salary (base salary)
Tools
SystemVerilog, Universal Verification Methodology (UVM), C, C++, Python, Ethernet, PCIe
AI focus
Applies data-driven analytics and AI-assisted techniques to test generation, regression analysis, coverage optimization, and debug productivity.
Model-written summary · the original posting is authoritative