The ASIC Physical Design Methodology Engineer will be part of the Cloud-Scale Machine Learning Acceleration team at Annapurna Labs, focusing on the design and optimization of hardware for AWS Inferentia and Trainium Systems. This role involves defining and deploying innovative physical design methodologies for ML Accelerator chips. The engineer will work closely with various teams to enhance methodologies and efficiencies while troubleshooting digital tool flows. The position requires a strong background in ASIC implementation and digital design, particularly in communication systems.

• 7+ years of ASIC implementation, synthesis, STA and physical design in deep sub-micron nodes (16nm or smaller) experience
• 7+ years of digital design in communication systems experience
• 7+ years of full-custom analog or RF layout experience
• 7+ years of wireless communications systems and implementation experience
• 8+ years of creating and maintaining automation frameworks for Post-Silicon Flow experience
• Bachelor's degree in Electrical Engineering or a related field
• Knowledge of UVM and Matlab
• Knowledge of implementing chips with multiple power islands and power gating
• Knowledge of multiple access systems including OFDMA, TDMA, and CDMA
• Knowledge of end-to-end network system architecture from wireless physical layer to application endpoints
• Knowledge of serial protocols including SPI, I2C, I3C, and UART
• Experience in communication theory, OFDM, MIMO, Digital/Wireless Communication Systems or RF engineering

• 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, and 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
• Independently troubleshoot digital tool flow usage and deploy solutions
• Fluently use scripting languages such as TCL and Python to build scalable and efficient flows to support parallel design developments
• Create dashboards and central reports for project tracking and visualizing QoR/stats

• 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.