Intel
Design Verification Engineer
$106K–$149K
US, California, Santa Clara · Full-time · Posted Sep 11, 2026
- Experience
- 3+ months of internship experience in a hardware design or verification environment.
- Education
- BS or MS in Electrical Engineering, Computer Engineering, or Computer Science.
- Visa sponsorship
- Not eligible for Intel immigration sponsorship.
About the job
Verifies next-generation interconnect and chassis IP by developing testbenches and tests, debugging simulation failures, and contributing to functional coverage and regression analysis.
What you'll do
- Develop testbench components, constrained-random stimulus, and functional checkers; run and debug simulations and root-cause failures.
- Contribute to functional coverage plans, coverage closure, and regression triage.
- Use AI-assisted coding and debugging tools and contribute automation and scripting.
What they ask for
- BS or MS in Electrical Engineering, Computer Engineering, or Computer Science.
- At least 3 months of internship experience in a hardware design or verification environment.
- Foundation in logic design and digital circuits; ability to read and reason about RTL; demonstrated algorithmic thinking and software fundamentals.
- Proficiency in at least one of C/C++, Python, or SystemVerilog; coursework or project exposure to two or more listed subject areas; regular use of AI coding assistants in coursework or projects.
Nice to have
- Coursework or project work in hardware verification, FPGA design, or RTL simulation; exposure to SystemVerilog, UVM concepts, or assertion-based verification.
- Familiarity with AXI, AHB, or PCIe, or cache/memory hierarchy concepts; Linux, git, or build/test automation scripting.
Pay
$105,650.00-149,150.00 USD (annual salary; posting describes this as target compensation, not specifically base salary or total pay).
Tools
C/C++, Python, SystemVerilog, ModelSim, VCS, Questa, UVM, git
AI focus
Use AI-assisted coding and debugging tools regularly as a core development workflow and productivity tool.
Model-written summary · the original posting is authoritative