> Markdown version of [/jobs/ext/4454895-pd-engineer-annapurna-labs](https://www.wearedevelopers.com/jobs/ext/4454895-pd-engineer-annapurna-labs). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# PD Engineer, Annapurna Labs

- **Company:** Amazon.com, Inc.
- **Location:** Cupertino, CA, United States
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Computing, Data Centers, Machine Learning, Computer Network Operations, Physical Verification, Physical Design
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/pd-engineer-annapurna-labs-cupertino-ca--736f2d8b-a3e3-46b6-9407-f1b734464fbc

## About the Role

Machine Learning, Network Operations Center, Cloud Computing, Product Design, Amazon Web Services (AWS), Customer Experience, Leadership, IR Drop Analysis, Timing Verification, Place and Route

## Description

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., * 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.