Physical Design Engineer - Full Chip Implementation

Job Summary

Etched is building a new category of AI hardware: frontier inference clusters. As a top-level PD engineer, you will own full-chip implementation—encompassing floorplanning, P&R, clocking, timing analysis, physical verification, and sign-offs—from synthesis through to GDSII completion. You will lead critical efforts in these areas, leveraging our PD flows to drive aggressive PPA optimization and timing closure. You will collaborate closely with RTL designers to provide actionable feedback, ensuring we iterate at unprecedented speeds to bring our products to market.

Key Responsibilities

• Own full-chip clocking across all PVT corners and modes.
• Manage MMMC (Multi-Mode Multi-Corner) timing closure at the top level.
• Own timing constraints and hierarchical timing budgeting between top level and blocks.
• Drive functional and timing ECO closure and achieve final timing signoff for tapeout.
• Own end-to-end physical verification closure at block, sub-system, and full-chip level across DRC, LVS, ERC, antenna, density, fill, and top-level integration.
• Debug complex PV violations across layout, routing, macros, IP, power grid, rule decks, and tool or setup issues, and fix violations directly in layout using Innovus.
• Build a repeatable, tapeout-ready PV methodology with clean runs, waiver discipline, version control, triage, and final signoff reviews.

You may be a good fit if you have

• 10+ years of previous experience with chip planning, top level PD, floorplanning
• Experience with top-level and full-chip closure on advanced process nodes (5nm and below)
• Experience with Cadence (Innovus, Genus) or Synopsys (Fusion Compiler) automated RTL-to-GDSII flows
• Experience with Synopsys PrimeTime and Cadence Tempus for timing signoff
• Experience with Pegasus or Calibre for physical verification signoff
• Experience with hierarchical timing budgeting, constraint management, and ECO closure
• Experience with Cadence Innovus for top-level assembly, routing, and layout fixes
• Deeply creative and able to think from first principles

Strong candidates may also have experience with

• Familiarity with modern ML and LLM model architectures
• Ability to program with Python or another scripting language
• Familiarity with AI tools for programming/coding
• Startup experience or comfort working in fast-paced environments

Benefits

• Medical, dental, and vision packages with generous premium coverage
• $500 per month credit for waiving medical benefits
• Housing subsidy of $2.5k per month for those living within walking distance of the office
• Relocation support for those moving to San Jose (Santana Row)
• Various wellness benefits covering fitness, mental health, and more
• Daily lunch and dinner in our office
• Unlimited compute budget subject to ROI justification

How we’re different

We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.