Drimva

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

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)