As a member of the Cloud-Scale Machine Learning Acceleration team, you will focus on the design and optimization of hardware in data centers, particularly with technologies like AWS Inferentia. This role demands leadership in applying new technologies to large-scale deployments to enhance customer experience. You will work in a fast-paced environment alongside thought-leaders in various technology areas, maintaining high standards for performance and quality. The position is intellectually challenging and aims to push the boundaries of what is possible in the industry.

• 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-off tools in TCL, Perl, and/or Python
• Solid understanding of ASIC physical design, physical design flows, and methodologies including synthesis, place and route, STA, and formal verification
• Proven track record of delivering metric driven PPA flow development and support
• 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

• 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.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.