Post-Silicon Lab Manager
Santa Clara, United States · Hybrid
- Posted 1w ago
- From Tenstorrent’s careers page
- Location
- Santa Clara, United States
- Work mode
- Hybrid
- Experience
- 8+ years
- Department
- Engineering
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About the role
Who You Are
- You hold a B.S. or M.S. in Electrical Engineering, Computer Engineering, or a similar technical field, and you have 8–12+ years in semiconductor hardware, including 3+ years leading a post-silicon validation, characterization, or hardware lab team focused on CPUs.
- You know high-speed interfaces (PCIe, DDR/GDDR/HBM, SerDes) and fabric links in depth, and you're hands-on with board-level debug tools.
- You bring a startup mindset. You stay calm and quick when troubleshooting physical hardware under tight tape-out and silicon-arrival deadlines.
- You communicate clearly across functions and keep remote, multi-site teams aligned from the Santa Clara hub.
What We Need
- Run day-to-day lab operations for CPU post-silicon validation, power/performance assessment, and debug, with lab infrastructure aligned to tape-out and bring-up schedules.
- Lead the lab environment for first-silicon power-on, system bring-up, and platform validation, including board-level fixes to salvage eval boards or meet new validation needs.
- Deploy and maintain server racks, data acquisition, power telemetry rigs, and automated test benches for multi-core CPU and chiplet-based systems. Manage the CapEx budget for scopes, logic/protocol analyzers, and traffic generators.
- Own inventory, calibration cycles, silicon allocation tracking, and lab safety compliance using JIRA, Confluence, and lab scheduling tools.
What You Will Learn
- How to bring up first silicon on advanced multi-core CPU and chiplet architectures, from power-on to full platform validation.
- How to build and scale a world-class post-silicon lab at a fast-moving company.
- How to debug critical post-silicon issues alongside the Emulation, Silicon Design, Software, and Architecture teams.
- How your lab's capacity planning and infrastructure decisions shape silicon schedules and product success.
Skills they ask for
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About Tenstorrent
Compute for every scaleTenstorrent develops AI computing systems, including superclusters and workstations for running AI workloads.
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