SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 100,000 - 500,000 / annual
Tenstorrent is seeking a Physical Design Engineer with deep expertise in static timing analysis (STA) to join their semiconductor team. You will drive timing convergence across multi-million-gate designs on advanced process nodes, partnering with cross-functional teams through final signoff and tapeout. This is a hybrid role based in Austin, TX; Fort Collins, CO; or Santa Clara, CA.
In this role, you will:
- Drive timing convergence across blocks, partitions, sections, and top-level designs; generate and validate timing models and publish results.
- Analyze timing violations, develop and propagate fixes, debug timing-flow issues, and keep execution progressing through tapeout.
- Develop and validate bottom-up constraints while partnering with Design and DFT teams on methodology updates and closure requirements.
- Use Python, Perl, and Tcl for automation and flow development.
- Collaborate across distributed, cross-functional engineering teams to solve complex timing challenges.
You will learn how to develop scalable timing models and constraints across design hierarchy, understand how clocking, guardbanding, derates, uncertainties, CDC, RDC, and process corners influence convergence, and improve implementation and signoff workflows through scripting, automation, and emerging AI-enabled solutions.
Tenstorrent is building cutting-edge AI technology and has developed a high-performance RISC-V CPU from scratch. The company values collaboration, curiosity, and a commitment to solving hard problems.
REQUIREMENTS:
- 8+ years of experience in STA, timing closure, and advanced-node design implementation.
- Experienced with timing flows, constraints, clocking, CDC, RDC, derates, uncertainties, guardbanding, and final signoff.
- Skilled in writing and debugging SDC constraints, creating ECOs, developing closure strategies, and analyzing worst-case corners.
- Proficiency in Python, Perl, and Tcl for automation and flow development.
- Experience with SPICE, PNR, placement, CTS, routing, post-route optimization, DFT, or AI-based automation is a plus.
- Strong communication and collaboration skills across distributed teams.
