Sr. Manager, Foundation IP (Standard Cells & Memories),, Annapurna Labs

Annapurna Labs, our silicon organization within AWS Utility Computing, builds the custom chips behind AWS — Graviton, Nitro, Inferentia and Trainium. Our Machine Learning Acceleration (MLA) team develops Basic qualifications: - 3+ years of people management, managing engineers experience - • BS in Electrical or Computer Engineering with 12+ years, MS with 10+ years, or PhD with 7+ years of experience in standard cell, memory or custom digital circuit design - • Hands-on transistor-level design experience across standard cells, sequentials/latches, and SRAM or register files in FinFET or GAA technologies at 5nm or below - • Experience as the technical interface to foundation IP vendors or foundries — specifying deliverables and driving SOWs, schedules, ECOs and IP quality - • Experience evaluating standard cell library and memory PPA using block-level synthesis and place-and-route - • Experience with standard cell and memory characterization and EDA views (Liberty/LVF, LEF, Verilog) using Synopsys PrimeLib/SiliconSmart or Cadence Liberate - • Proficiency with custom design and verification tools: Cadence Virtuoso or Synopsys Custom Compiler; Spectre or HSPICE/PrimeSim; Siemens Calibre or Synopsys ICV - • Scripting experience in Python, Tcl, Perl or SKILL Preferred: - Master's degree or Ph.D. degree in Electrical Engineering or related field - • Experience on N3, N2 or below technologies, including backside power delivery and mixed-height standard cell libraries - • Design or integration of latch-based arrays, custom multi-port register files, or TCAM/CAM for high-performance processors or ML accelerators - • Track record defining custom and combo cells (multi-bit flops, complex/fused cells, datapath compressors) from netlist analytics, with measured block-level PPA gains - • Memory design depth: bitcell options, read/write assist, Vmin, redundancy/repair, MBIST/BISR, low-power modes, and memory EM/IR analysis (Ansys Totem, Cadence Voltus-XFi) - • Test chip definition, silicon characterization and model-to-silicon correlation, including aging, self-heating and EM reliability - • GPIO, ESD, eFuse/OTP and on-die PVT sensor IP selection and integration - • Working knowledge of physical design and signoff flows: Fusion Compiler, Innovus, PrimeTime, Tempus, StarRC, Quantus, RedHawk-SC - • Experience on AI/ML accelerator or high-performance SoC programs taken to high-volume production - • Demonstrated ability to influence external partners and make high-judgment tradeoffs under ambiguity - • Demonstrated alignment with Amazon’s Leadership Principles at the Sr. Manager bar - • Functional and technical depth consistent with the scope and complexity of this role Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, and 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Cupertino - 277,400.00 - 350,000.00 USD annually USA, TX, Austin - 241,200.00 - 325,600.00 USD annually