Physical Design Engineer, AI Accelerator IP
Austin, United States · Hybrid
- Posted 1mo ago
- From Tenstorrent’s careers page
- Location
- Austin, United States
- Work mode
- Hybrid
- Experience
- 5+ years
- Department
- Engineering
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About the role
Who You Are
- A hands-on physical design engineer who owns blocks end to end, with a track record of block-level and IP tapeouts on advanced nodes.
- Driven by PPA outcomes, working closely with RTL owners to close critical paths and hit power budgets.
- Rigorous about signoff quality, because our IP ships to customers who integrate it without you in the room.
What We Need
- BS/MS/PhD in EE/ECE/CE/CS with 5+ years of block-level or IP-centric physical design through tapeout.
- Expertise with industry-standard tools (Innovus, ICC2/FusionCompiler, PrimeTime) and scripting languages (Tcl, Python, Perl).
- Deep understanding of advanced node challenges, low-power design (UPF, power gating, multi-Vt, voltage scaling), and signoff (STA, LEC).
- Experience building floorplans, power grids, pin placement, and clocking strategies, and delivering IP integration collateral (LEF/DEF, timing and power models, GDS, signoff reports).
What You Will Learn
- How RISC-V CPU and AI accelerator IP is hardened and delivered to external licensees on the most advanced process nodes.
- Multi-variant IP delivery: porting the same block across nodes, foundries, and PPA targets.
- Direct impact on IP deal timelines, since your PPA and schedule data feeds our customer commitments.
- Front-to-back co-design with architecture, RTL, and chiplet integration teams.
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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