PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning
- Pay
- $153,600 – $247,300 per year
- Location
- Cupertino, CA
- Listed
- 3 days ago
About the role
Annapurna Labs (our organization within Amazon Utility Computing) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.
Amazon provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries.
Custom SoCs (System on Chip) live at the heart of Amazon Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, Trainium Systems (our custom designed machine learning inference and training datacenter servers).
Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. We're looking for an ASIC Physical Design Methodology Engineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.
Key job responsibilities
- Define, develop and deploy innovative physical design and verification methodologies (RTL2GDS) for ML Accelerator chips in advanced nodes
- Drive Optimizations in CAD flows/methodologies for PPA and TAT improvements
- Work with EDA tool vendors to evaluate new methods, resolve bugs, improve usability.
- Fine tune cloud infrastructure to improve compute and storage utilization for physical design work.
- Interface directly with RTL, Physical Design, Package Design, DFT teams to improve methodologies and efficiencies.
- Be able to independently troubleshoot digital tool flow usage and deploy solutions;
- Fluent in scripting languages such as TCL, Python, etc. and able to build scalable and efficient flows to support parallel design developments
- Create Dashboard and Central reports for project tracking and visualizing QoR/stats
Basic Qualifications
- Bachelor's degree in Electrical Engineering or a related field
- Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills
Preferred Qualifications
- Master's degree in Electrical or Communications Engineering or a related field
- Experience with industry standard tools and scripting languages (Python or Perl) for automation
Additional information
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Pay and benefits
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.
USA, CA, Cupertino - 176,600.00 - 247,300.00 USD annually
USA, TX, Austin - 153,600.00 - 215,000.00 USD annually
Equal opportunity and legal notices
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 Company's reputation.
Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
From Annapurna Labs (U.S.) Inc.'s careers page, first listed on Rolev.ai on November 6, 2026. Rolev.ai is not the employer.
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What is the salary for the PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning role at Annapurna Labs (U.S.) Inc.?
The PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning posting at Annapurna Labs (U.S.) Inc. states compensation of $153,600 – $247,300 per year. Final pay may depend on location, experience, and interview evaluation on Annapurna Labs (U.S.) Inc.'s official career site.
Where is the PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning job at Annapurna Labs (U.S.) Inc. located?
This PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning position at Annapurna Labs (U.S.) Inc. is located in Cupertino, CA. Always check Annapurna Labs (U.S.) Inc.'s application page for specific state eligibility or relocation policies.
How do I apply for the PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning position at Annapurna Labs (U.S.) Inc.?
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