Positron
Director of Silicon Validation
$200K–$350K
Austin, TX · On-site · Director · Full-time · Posted Aug 5, 2026
- Experience
- 12+ years in ASIC verification and/or silicon validation, including at least 5 years in a leadership role.
- Education
- Degree in Electrical Engineering, Computer Engineering, or a related field.
- Visa sponsorship
- Candidates must be currently authorized to work in the U.S.; no new visa sponsorship is available, but H-1B transfers may be facilitated for eligible candidates.
About the job
Leads the end-to-end verification and validation of AI inference silicon, from pre-silicon verification and emulation through post-silicon bring-up and production validation.
What you'll do
- Lead pre-silicon verification, hardware emulation, and post-silicon validation teams; own verification strategy, test plans, coverage closure, and tape-out readiness recommendations.
- Build emulation, regression, and validation infrastructure; lead silicon bring-up, debug, triage, and errata management.
- Recruit and develop the organization and partner across design, DFT, physical design, firmware, software, and external vendors.
What they ask for
- Degree in Electrical Engineering, Computer Engineering, or a related field.
- 12+ years of ASIC verification and/or silicon validation experience, including at least 5 years in a leadership role.
- Track record taking multiple complex ASICs through verification planning, successful first silicon, and production ramp.
- Hands-on expertise in SystemVerilog, UVM, constrained-random verification, functional coverage, and assertion-based verification.
Nice to have
- Experience with AI/ML accelerators, HPC, or data center silicon; firmware or embedded software bring-up.
- Formal verification, Arm-based subsystems, virtual prototyping, AI-assisted verification tooling, or multi-site organization leadership experience.
Pay
$200,000 – $350,000 USD base salary
Tools
SystemVerilog, UVM, Cadence Palladium, Siemens Veloce, Synopsys ZeBu, PCIe, LPDDR/HBM, Linux
AI focus
Verification and validation of AI inference silicon; preferred experience includes AI/ML accelerators and applying AI-assisted tooling to verification and debug workflows.
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