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Senior CAD Manager — RTL-to-GDS Methodology & Infrastructure, Annapurna Labs

Amazon


Job Location:

Cupertino, CA - USA

Monthly Salary: Not provided by the employer
Posted: 23 May 2026 (30+ days ago)
Application Deadline: 20 August 2026
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

Annapurna Labs is hiring a Senior CAD Manager to build lead and scale the CAD/EDA organization driving RTL-to-GDS methodology flow development and analytics across multiple sites. This is a strategic leadership role responsible for defining the multi-year roadmap for digital implementation signoff and physical verification; building and scaling a geographically distributed CAD team; and partnering with design DV IT and EDA vendors to enable next-generation SoC tape-outs at advanced nodes (5 nm / 3 nm / 2 nm and below).

You will own the technical direction and operational health of the full digital backend toolchain synthesis place-and-route STA power/IR EM and physical verification along with the license dashboard and automation infrastructure that supports it. Success in this role means a CAD organization that materially accelerates time-to-tape-out raises PPA and signoff quality and gives engineering leadership data-driven visibility into project health.

Key job responsibilities
Define and drive the multi-year roadmap for RTL-to-GDS flows across synthesis place-and-route STA signoff and physical verification; lead methodology bring-up for new technology nodes foundry PDKs and IP integration.
Own the EDA tool strategy and vendor relationships; lead structured evaluations benchmarking license forecasting peak-load planning and cost optimization in partnership with procurement and finance.
Build and scale the CAD environment flow frameworks regression infrastructure run management release engineering CI/CD-style practices and version control supporting multiple technology nodes.
Own the strategy for CAD dashboards and analytics: PPA tracking run health signoff QoR trending tape-out readiness scorecards and compute/license efficiency metrics.
Build mentor and scale a multi-site CAD organization; establish operating cadence technical reviews knowledge-sharing practices engineering standards and quality bars for CAD deliverables.
Partner with physical design DV RTL package IP and IT teams to align flow capabilities to program commitments; engage executive stakeholders on technology readiness schedule risk and capacity planning.


- Bachelors degree in electrical engineering computer engineering or equivalent
- 15 years of experience in semiconductor CAD/EDA methodology or physical design
- 5 years of experience in people management or technical leadership of engineering teams
- Experience taking SoCs through tape-out at advanced nodes (7 nm or below) using industry-standard digital implementation flows
- Experience with RTL-to-GDS toolchains including synthesis place-and-route static timing analysis parasitic extraction power/IR analysis and physical verification
- Experience with low-power design flows (UPF/CPF) MMMC corners and POCV/SSTA at advanced nodes
- Experience with scripting and automation (Tcl Python or Perl) and version control systems (Git or Perforce)
- Experience scaling CAD compute infrastructure (LSF Slurm or equivalent) and managing license capacity at scale

- Masters degree or PhD in Electrical Engineering Computer Engineering or a related field
- Experience with AI/ML-driven flow automation or ML features in EDA tools (e.g. predictive QoR/runtime models)
- Experience with package- and system-aware flows (2.5D/3D IC chiplets UCIe) and SI/PI co-design
- Experience with cloud-based EDA workflows and hybrid on-prem/cloud compute strategy
- Experience with formal verification RTL signoff and emulation flows
- Track record of presenting at industry forums (DAC SNUG CDNLive ISPD) or contributing to EDA standards bodies
- Demonstrated ability to build and lead geographically distributed engineering teams across multiple time zones

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA Cupertino - 239600.00 - 324100.00 USD annually


Required Experience:

Manager


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