HPE
ASIC Design Verification Engineer - Slingshot
$109K–$251K
Ft. Collins, Colorado, United States of America +2 · Full-time · Posted Oct 29, 2026
- Location
- Ft. Collins, Colorado, United States of America
Bloomington, Minnesota, United States of America
Chippewa Falls, Wisconsin, United States of America - Experience
- 5+ years of experience in VLSI design, verification, or implementation.
- Education
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent.
About the job
Verifies blocks in HPE Slingshot switch and NIC ASICs through pre-silicon design verification, from test planning and testbench development to coverage closure and sign-off.
What you'll do
- Develop SystemVerilog and UVM testbench components, scoreboards, checkers, and functional coverage; drive coverage closure.
- Triage regression failures, identify logic bugs, and drive bug closure; improve verification methodology using scripting, automation, and AI-assisted tools.
- Coordinate verification progress and issue resolution with designers, architects, and project leads; guide less experienced staff.
What they ask for
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent.
- Strong knowledge of SystemVerilog and OVM or UVM methodologies.
- Strong knowledge of programming and scripting languages, hardware description languages, and EDA tools.
- Strong analytical and problem-solving skills; ability to work independently in distributed teams; strong written and verbal communication skills and mastery in English.
Nice to have
- Experience verifying high-speed networking, switching, or NIC ASICs.
- Experience with agentic AI coding tools and workflows, Python, Perl, Tcl, or another scripting language in Linux development environments; geographically distributed teams.
Pay
USD 115,000 - 218,000 in Colorado (base salary); USD 109,000 - 251,000 in Minnesota & Wisconsin (base salary)
Tools
SystemVerilog, UVM, OVM, Python, Perl, Tcl, Linux, EDA
AI focus
Apply AI-assisted and agentic tools and workflows to improve verification speed and quality and address complex engineering problems.
Model-written summary · the original posting is authoritative