PD Methodology Engineer II, Annapurna Labs

Amazon is hiring a PD Methodology Engineer II, Annapurna Labs in Cupertino, United States. It pays $177k-$247k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Inferentia, Innovus and Icc2.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Design and optimize hardware infrastructure and physical design flows for cloud-scale machine learning acceleration chips like AWS Inferentia.

InferentiaInnovusIcc2Fusioncompiler

asic-designphysical-designpythontclperlcmachine-learning

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 technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost.

You’ll 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 you’ll work with thought-leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost. We’re 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
- You will create and support innovative physical design methodology and CAD flows.
- 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, Physical Design, 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.

Basic qualifications

- Bachelor's degree in Electrical Engineering or a related field
- Minimum of 3+ years in developing design methodology or CAD flows in synthesis, PNR, or sign-off areas for advanced technology nodes
- Experience in writing production scripts for implementation and sign-of. tools in TCL, Perl, and/or Python
- Solid understanding of ASIC physical design, physical design flows, and methodologies including synthesis, place and route, STA, formal verification
- Proven track record of delivering metric driven PPA flow development and support

Preferred qualifications

- Experience in machine learning applications
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Demonstrated level of expertise in PD tools such as Innovus, ICC2, FusionCompiler, STA, and Sign-Off
- Experience in evaluating multiple vendor solutions and driving tool decisions
- Experience in high-performance, low-power physical design, and implementation techniques with industry standard synthesis, PnR, or Signoff tools
- Excellent verbal and written communications

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.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.

USA, CA, Cupertino - 176,600.00 - 247,300.00 USD annually

How we rate this

PD Methodology Engineer II, Annapurna Labs at Amazon rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

PD Methodology Engineer II, Annapurna Labs is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $177k-$247k a year.
The role is based in US, CA, Cupertino.
The job was posted on September 8, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Asic DesignPhysical DesignPythonTclPerlCMachine learningInferentia

Questions you could be asked

Tell me about a project where asic design was part of your work. What did you do?
Tell me about a project where physical design was part of your work. What did you do?
Tell me about a project where python was part of your work. What did you do?
Tell me about a project where tcl was part of your work. What did you do?
Tell me about a project where perl was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Asic Design, Physical Design, Python, Tcl, and Perl. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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