AmazonPD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning
Amazon is hiring a PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning 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
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Level lists 20,000+ other open roles at Amazon.
- The role was posted in the last few days.
AI in this role
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
A day in the life
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
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
USA, TX, Austin - 153,600.00 - 215,000.00 USD annually
How we rate this
PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning at Amazon rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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.
Get new data jobs by email
One email a week with the new data jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Data roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step