Physical Design Engineer

Reposted 17 Days Ago
Be an Early Applicant
San Jose, CA
In-Office
150K-275K Annually
Mid level
Artificial Intelligence • Hardware • Software
The Role
The Physical Design Engineer will oversee physical design implementations, optimize CAD infrastructures, and drive project convergence through dashboards, focusing on design methodologies and flows from RTL to GDSII.
Summary Generated by Built In

About Etched

Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. 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 looking for exceptional PD engineers to join our team. The candidate will be responsible for working with 3rd party design services to implement and verify physical designs, and will help Etched as we work to improve iteration speed on physical design.

Key Responsibilities

  • Supervise the outsourcing of physical design to a 3rd party service

  • Deeply understand what is involved in physical design

  • Running Physical Design flows to close blocks, support ASIC infrastructure, automate Physical Design flows, improve CAD infrastructure

  • Drive dashboards that show the convergence of projects related to Physical Design

  • Optimize tool flows, working with EDA vendors to incorporate the latest features

  • Accountable for block level closure

You may be a good fit if you have

  • 2+ years of previous experience with PD

  • Tools, flow, and design methodology from RTL synthesis to GDSII sign-off

  • Experience with back-end design and timing closure on 3nm-7nm

  • Experience with UPF-based low power design methodology, power verification, synthesis, scan insertion/ATPG, formal verification, floor-planning, placement, CTS, routing, IR drop, and EM/antenna analysis

  • Deeply creative and able to think from first principles

Strong candidates may also have experience with (Nice-to-have qualifications)

  • Familiarity with transformer models and machine learning.

  • Familiarity with Cadence or Synopsys automated RTL-to-GDSII flows

  • ​Ability to program with Python or another scripting language.

We encourage you to apply even if you do not believe you meet every single qualification.

Benefits:

  • Full medical, dental, and vision packages, with generous premium coverage

  • Housing subsidy of $2,000/month for those living within walking distance of the office

  • Daily lunch and dinner in our office

  • Relocation support for those moving to West San Jose

How we’re different:

Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.

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 as needed. 

Top Skills

Eda Tools
Gdsii
Openroad
Physical Design
Python
Rtl Synthesis
Upf
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The Company
HQ: Cupertino, CA
53 Employees
Year Founded: 2022

What We Do

By burning the transformer architecture into our chips, we’re creating the world’s most powerful servers for transformer inference.

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