Senior ASIC Design Infrastructure & Methodologies engineer, MLA-MI - Annapurna Labs
About the role
The Machine Learning Acceleration (MLA) team at Annapurna Labs designs and develops the SOCs that power today's AI workloads across datacenters worldwide. This role involves developing and implementing new methodologies and infrastructure to empower design teams to operate efficiently while maintaining high-quality standards.
Responsibilities
- Develop and implement new methodologies and infrastructure to empower design teams to operate efficiently while maintaining high-quality standards.
- Enhance and build design flows to boost the overall productivity of design teams.
- Collaborate with vendors to evaluate and qualify new design tools and updated tool versions.
Requirements
- 7+ years of ASIC implementation, synthesis, STA and physical design in deep sub-micron nodes (16nm or smaller)
- 7+ years of digital design in communication systems
- 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
- 7+ years of verification in communication systems
- 5+ years of UVM, C, System C, and scripting experience
Qualifications
- Master's degree or Ph.D. degree in Electrical Engineering or related field
- Experience in RTL coding and debug, as well as performance, power, area analysis and trade-offs
- Experience with modern ASIC/FPGA design and verification tools
- Experience with SOC bring-up and post-silicon validation
Skills
- Strong expertise in RTL design and front-end methodologies
- Good software skills and a drive for improving and automating flows
- Collaboration with architects, designers, verification engineers, and other cross-functional team members
Benefits
Amazon offers comprehensive benefits including health insurance, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave. For more information, visit https://amazon.jobs/en/benefits.
Pay
The base salary range for this position is $183,000.00 - $247,600.00 USD annually.
Schedule
Work/Life Balance: Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.