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# ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs

- **Company:** Amazon.com, Inc.
- **Location:** Cupertino, CA, United States
- **Salary:** $157,300.0 - $212,800.0
- **Contract:** Permanent contract
- **Skills:** 4G (Telecommunication), Amazon Web Services, Wireless Broadband, Data Centers, Software Debugging, Perl (Programming Language), Formal Verification, Python (Programming Language), Machine Learning, Azure Machine Learning, System on a Chip, System Testing, SystemVerilog, WiMAX, Scripting, Application Specific Integrated Circuits, 5G NR
- **Published:** August 14, 2026
- **Apply:** https://www.amazon.jobs/en/jobs/10500974/asic-design-engineer-cloud-scale-machine-learning-acceleration-team-annapurna-labs

## About the Role

The ideal candidate will have a strong background in ASIC design, proficiency in SystemVerilog, and excellent analytical and problem-solving skills. Experience with high-performance and power-efficient designs is highly desirable.

You will thrive in this role if you:

 - Have a "Learn and Be Curious" mindset
 - Have familiarity with key components such as interconnects, DMAs, Memory sub-systems, accelerator engines, debug and system level architectures
 - Have a strong drive to innovate, explore new solutions, and contribute to the company's intellectual property through patents, Bachelor's degree in Electrical Engineering or a related field
 - Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills
 - Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing, Master's degree in Electrical or Communications Engineering or a related field
 - Experience with formal verification techniques including abstraction and end-to-end checking
 - Experience with ARM and various DSP ISAs
 - Experience with current and upcoming RF standards in cellular (4G/5G NR), WiMAX, 802.11ad, microwave backhaul, or related broadband wireless standards
 - Experience with industry standard tools and scripting languages (Python or Perl) for automation

## Description

Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. We're looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs., As an ASIC Design Engineer, you will:

 * Develop and implement high-performance, area and power-efficient RTL designs to meet project specifications and targets

 * Conduct in-depth analysis of designs, microarchitectures, and architectures to optimize trade-offs between features, power consumption, performance, and area requirements

 * Create microarchitectures, implement SystemVerilog RTL, and deliver synthesis and timing-clean designs with appropriate constraints

 * Execute lint and clock domain crossing quality checks to ensure design integrity

 * Collaborate closely with cross-functional teams, including architects, fellow designers, verification specialists, pre- and post-silicon validation teams, and synthesis, timing, and back-end experts


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