PD Engineer, Annapurna Labs
Annapurna Labs (U.S.) Inc.•4h ago
United StatesOnsite$136K–$184KFull-timeMid Level4+ yrs exp
H-1B verified · 2310 LCAs
Top focus
Product Designer
- 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
- you’ll work with thought-leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with
- you’ll be constantly looking for ways to improve our products' performance, quality and cost. We’re changing an industry
- 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.
- Bachelor's degree in Electrical Engineering or a related field - Block Design using EDA tools (examples: Cadence, Mentor Graphics, Synopsys
- 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
- ECO - Deep understanding on sign-off activities (timing, ir/em, physical verification)
- Expertise using CAD tools (examples: Cadence, Mentor Graphics, Synopsys
- 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
- 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
- analyzing trends Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
- 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 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
- 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
- parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, TX, Austin - 136,000.00 - 184,000.00 USD annually
Required skills
AWSEDACadenceMentor GraphicsSynopsysphysical designsynthesisequivalency verificationfloor planningbus planningplace and routepower distributiontiming closurephysical verificationECO