Intel
Senior Design Verification Engineer - Neuromorphic Computing
$122K–$232K
US, Oregon, Hillsboro +4 · Senior · Full-time · Posted Sep 15, 2026
- Location
- US, Oregon, Hillsboro
US, California, Folsom
US, California, Santa Clara
US, Texas, Austin
US, Arizona, Phoenix - Experience
- Bachelor’s and 5+ years OR Master’s and 3+ years of silicon engineering experience; also requires 3+ years in pre-silicon verification or post-silicon validation, 3+ years in UVM and constrained random verification, 2+ years developing the verification stack, and 1+ year using AI tools.
- Education
- Bachelor’s or Master’s degree; posting does not specify a field.
About the job
Develops full-stack pre-silicon verification methods and tests for Intel neuromorphic chips, supporting reliable silicon and physical AI systems.
What you'll do
- Translate application requirements into unit- and system-level test plans; write Python-based directed and random tests.
- Run regressions, debug failures, track coverage, and work with designers to resolve issues and improve coverage.
- Maintain assertions, scoreboards, and verification tools; integrate VIPs and coordinate with IP teams on protocol requirements.
What they ask for
- Bachelor’s and 5+ years OR Master’s and 3+ years of silicon engineering experience.
- 3+ years of pre-silicon verification or post-silicon validation experience in SoC accelerators or custom ASIC designs.
- 3+ years of experience in UVM and constrained random verification methods.
- 2+ years developing the verification stack from test planning to execution; 1+ year using AI tools for test generation, debugging, and productivity.
Nice to have
- Experience in neuromorphic computing or AI/ML accelerator design.
- Experience with commercial Verification IPs, DFX, low power, and UPF verification techniques.
Pay
$122,440.00-232,190.00 USD (target compensation; posting does not specify base salary or total pay)
Tools
Python, UVM, Verification IPs, Ethernet, PCIE, MACsec/IPsec, RoCEv2, MIPI CSI-2
AI focus
Uses AI tools for test generation, debugging, and improving productivity; verification work supports neuromorphic computing and physical AI systems.
Model-written summary · the original posting is authoritative