Amazon Web Services (AWS) · 2 weeks ago
Sr. Physical Design Methodology Engineer, Annapurna Labs
Amazon Web Services (AWS) is a leading cloud platform that innovates in silicon and software design. The role involves designing and optimizing hardware for machine learning servers, focusing on developing physical design methodologies and improving efficiencies in the design process.
Agentic AIConsultingDevOpsInformation TechnologySoftwareWeb Development
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
Qualification
Required
BS + 10yrs or MS + 7yrs in EE/CS
5+ years developing physical design methodology or CAD flows in synthesis, PNR, and sign-off areas for advanced technology nodes
Proficient in programming/scripting languages (Perl, Python, C++)
Solid understanding of ASIC physical design, and methodologies including synthesis, place and route, STA, IR, formal and physical verification
Demonstrated level of expertise in PD tools such as Innovus, ICC2, Fusion Compiler, STA, and Sign-Off
Proven track record of delivering metric driven PPA flow development and support
Preferred
Expertise in high-performance, low-power physical design, and implementation techniques with industry standard synthesis, PnR, or Signoff tools
Excellent programming skills in languages like Python, Perl, TCL, Shell, etc. Good understanding of algorithms with emphasis on optimizing algorithms
Knowledge of technology nodes across foundries
Experience in evaluating multiple vendor solutions and driving tool decisions
Knowledge of creating dashboards and status reports for various EDA tool outputs, QOR metrics and analyzing trends (synthesis, pnr, signoff etc)
Experience with machine learning
Excellent verbal and written communications
Ability to work in dynamic work environment with changing needs and requirements
Ability to provide mentorship, guidance to junior engineers and be a effective team player
Meets/exceeds Amazon's leadership principles requirements for this role
Meets/exceeds Amazon's functional/technical depth and complexity for this role
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
H1B Sponsorship
Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Recent News
2026-01-09
2026-01-08
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