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Etched

Physical Design Engineer - Full Chip Implementation

Etched is hiring a Physical Design Engineer - Full Chip Implementation in San Jose, United States. It pays $200k-$300k a year and Level rates it ; you can apply on Etched.

Level's read on this job

  • Level rates this role Builds AI ●●●●: the job is building AI systems.
  • The posting mentions Innovus, Genus and Primetime among its tools and skills.
  • Level classes it as a senior role.
  • Etched has 114 other open roles on Level.

AI in this role

Lead full-chip physical design and implementation for Etched's frontier AI inference hardware accelerators.

InnovusGenusPrimetimeTempusPegasusCalibre
physical-designtiming-closurefloorplanningasichardware

About Etched

Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.

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

Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors.

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.

How we rate this

Physical Design Engineer - Full Chip Implementation at Etched rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Physical DesignTiming ClosureFloorplanningAsicHardwareInnovusGenusPrimetime

Questions you could be asked

  1. Tell me about a project where physical design was part of your work. What did you do?
  2. Tell me about a project where timing closure was part of your work. What did you do?
  3. Tell me about a project where floorplanning was part of your work. What did you do?
  4. Tell me about a project where asic was part of your work. What did you do?
  5. Tell me about a project where hardware was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Physical Design, Timing Closure, Floorplanning, Asic, and Hardware. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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