Physical Design Engineer - Flow & Methodologies
San Jose$200k - $375kFull-timePosted 2mo ago
About the role
Physical Design Methodology Engineer responsible for architecting and owning the automated RTL-to-GDSII flow, PD infrastructure, and tooling to accelerate time-to-market and achieve PPA gains for frontier AI inference hardware.
Responsibilities
- Architect, build, and maintain our automated RTL-to-GDSII flow, from synthesis through place and route to signoff handoff.
- Automate PD flows end to end, including regression running, run management, and release and version control of flow configurations.
- Build and own the CAD infrastructure supporting PD, including tool version qualification and deployment, and efficient use of compute and licenses.
- Drive dashboards that show the convergence of projects related to PD, including timing, physical verification, and utilization trends.
- Optimize tool flows and work with EDA vendors to evaluate and incorporate the latest features.
- Define reference flows, QoR targets, and delivery checklists for 3rd party physical design services, and audit deliveries against them.
- Partner with block and top-level owners to debug flow issues and encode fixes into the methodology rather than one-off patches.
- Create block level and full chip level PG mesh from scratch using design rule documents, design requirements, and EM/IR feedback.
- Create and maintain a DRC-clean floorplanning flow and enable floorplan signoff checks.
- Drive PPA tuning to optimize tool settings for best power, performance, and area outcomes.
- Establish and maintain timing correlation from pre-route through post-route and between implementation and signoff tools.
Qualifications
- 5-10+ years of previous experience with PD or PD methodology/CAD
- Experience building and owning automated RTL-to-GDSII flows used by multiple block owners
- Experience creating block level and full chip level PG mesh from scratch, including interpretation of design rule documents and EM/IR analysis
- Experience with DRC-clean floorplanning flows and automated checks
- Experience with Cadence (Innovus, Genus) or Synopsys (Fusion Compiler) automated RTL-to-GDSII flows
- Experience with PPA tuning and timing correlation across pre-route, post-route, and signoff environments
- Experience integrating sign-off tools (PrimeTime, Tempus, Voltus, Pegasus, Calibre) into production flows
- Experience with back-end design on advanced process nodes (5nm and below)
- Experience with UPF-based low power design methodology and multi-mode multi-corner setup
- Strong Tcl and Python skills for flow development and automation
- Deeply creative and able to think from first principles
Skills
Required:RTL-to-GDSII flow automationPD infrastructure and tooling developmentTcl and PythonPPA tuning and timing correlationSign-off tool integration
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
Last updated Oct 15, 2026. Interested? Apply on the company site.
About Etched
Etched is building frontier inference clusters: co-designs chips, racks, software and manufacturing to push the pareto frontier for AI hardware.
frontier inference clustersAI hardwarechipsrackssoftwaremanufacturingparto frontier
More open roles at Etched
- Research Engineer, RL Frontiers4d agoSan Jose · Software
- Internal Acceleration, Research Engineer (Hardware)4d agoSan Jose · Software
- Internal Acceleration, Research Engineer (Kernels)4d agoSan Jose · Software
- Internal Acceleration, Engineer (Kernels)4d agoSan Jose · Software
- Internal Acceleration, Engineer (ASIC)4d agoSan Jose · Software