Astera Labs logo

Principal Physical Design Engineer, Methodology

Astera LabsSan Jose, CA

$185,000 - $240,000 / year

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.1

Reclaim your time by letting our AI handle the grunt work of job searching.

We continuously scan millions of openings to find your top matches.

pay-wall

Overview

Schedule
Full-time
Education
Engineering (PE)
Career level
Senior-level
Remote
On-site
Compensation
$185,000-$240,000/year

Job Description

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL, Ethernet, NVLink, PCIe, and UALink semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.

Role Overview 

As a Principal Physical Design Engineer - Methodology, you will define, develop, and maintain the reusable physical design flows and automation infrastructure that the entire PD team relies on. You will build the RTL-to-GDSII flow, integrate and qualify tools from multiple vendors (Cadence and Synopsys), and continuously improve PPA and schedule predictability across all programs. You are the force multiplier scaling the team's capabilities and enabling faster, better tapeouts. This role is fully on-site at our San Jose, CA location. 

Key Responsibilities:

  • Flow & Methodology Ownership

  • Define, develop, and maintain reusable physical design flows spanning synthesis, place-and-route, extraction, STA, and EMIR

  • Own the end-to-end RTL-to-GDSII flow infrastructure across multi-vendor toolchains (Cadence Innovus, Tempus, Voltus, Pegasus; Synopsys Fusion Compiler, ICC2, PrimeTime, StarRC)

  • Evaluate and qualify new tool features, foundry enablement kits, and flow enhancements to continuously improve PPA and schedule predictability

  • Integrate and maintain DRC/LVS/extraction runsets and ensure consistency with foundry requirements

  • Automation & Scale

  • Build and enhance automation scripts and infrastructure to manage large-scale multi-corner/multi-mode STA and EMIR runs with efficient partitioning and resource usage

  • Develop QoR optimization frameworks and tracking methodologies to measure and improve design quality across programs

  • Partner with IT and compute infrastructure teams to optimize job scheduling, storage, and compute resource utilization

  • Standards, Quality & Enablement

  • Establish best practices, runset standards, and quality checks that scale across multiple concurrent tapeout programs

  • Support physical design engineers with flow issues, tool configurations, and methodology guidance

  • Drive adoption of flow improvements across the team, including training and documentation

Basic Qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field; Masters Preferred. 
  • 8+ years of experience in physical design methodology, CAD, or flow development for complex SoCs at advanced nodes (7nm and below) 
  • Strong knowledge of synthesis, place-and-route, extraction, STA, and equivalence checking flows 
  • Experience with both Cadence (Innovus, Tempus, Voltus, Pegasus) and Synopsys (Fusion Compiler, PrimeTime, StarRC, ICC2) toolchains 
  • Expert-level scripting ability in Python, Tcl, and/or Perl for flow development and automation 
  • Experience building and maintaining multi-corner/multi-mode analysis infrastructure 
  • Understanding of foundry design rules, technology files, and enablement kit integration 
  • Ability to work independently with strong prioritization and a results-driven mindset 

Preferred Qualifications:

  • Knowledge of agentic AI solutions for EDA automation 
  • Experience with CI/CD integration for physical design flows 
  • Familiarity with compute farm management and job scheduling optimization 
  • Knowledge of advanced packaging or multi-die integration flows 

The base salary range is $185,000 to $240,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives, and benefits.  

We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

pay-wall

FAQs About Principal Physical Design Engineer, Methodology Jobs at Astera Labs

What is the work location for this position at Astera Labs?
This job at Astera Labs is located in San Jose, CA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Astera Labs?
Candidates can expect a pay range of $185,000 and $240,000 per year.
What employment applies to this position at Astera Labs?
Astera Labs lists this role as a Full-time position.
What experience level is required for this role at Astera Labs?
Astera Labs is looking for a candidate with "Senior-level" experience level.
What education level is required for this job?
The education requirement for this position is Engineering (PE). Candidates with relevant qualifications or equivalent experience may also be considered.
What is the process to apply for this position at Astera Labs?
You can apply for this role at Astera Labs either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.