PD Engineer, Annapurna Labs

As a member of the Cloud-Scale Machine Learning Acceleration team youll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost.

Youll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced intellectually challenging position and youll work with thought-leaders in multiple technology areas. Youll have relentlessly high standards for yourself and everyone you work with and youll be constantly looking for ways to improve our products performance quality and cost. Were changing an industry and we want individuals who are ready for this challenge and want to reach beyond what is possible today.

Key job responsibilities
- Drive block physical implementation through synthesis floor planning bus / pin planning place and route power/clock distribution congestion analysis timing closure IR drop analysis physical verification ECO and sign-off
- Develop cloud infrastructure to support physical design work.
- Drive improvement in RTL2GDS flows/methodology for PPA and TAT improvement.
- Create Dashboard/central reports for project tracking and visualizing QoR/stats
- Interface directly with RTL Package Design DFT and other teams to improve methodologies and efficiencies and drive efforts to resolution.
- Work with EDA tool vendors to evaluate new tools solve bugs improve usability etc.

- Bachelors degree in Electrical Engineering or a related field
- Block Design using EDA tools (examples: Cadence Mentor Graphics Synopsys or Others) including synthesis equivalency verification floor planning bus / pin planning place and route power/clock distribution congestion analysis timing closure IR drop analysis physical verification and ECO
- Deep understanding on sign-off activities (timing ir/em physical verification)

- Experience in machine learning applications
- Experience with written and verbal communication and presentation
- Expertise using CAD tools (examples: Cadence Mentor Graphics Synopsys or Others) develop flows for synthesis formal verification floor planning bus / pin planning place and route power/clock distribution congestion analysis timing closure IR drop analysis physical verification and ECO
- 4 years of integrating IP and ability to specify and drive IP requirements in the physical domain.
- Experience in extraction of design parameters QOR metrics and analyzing trends
- Meets/exceeds Amazons leadership principles requirements for this role
- Meets/exceeds Amazons functional/technical depth and complexity for this role

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

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 TX Austin - 136000.00 - 184000.00 USD annually