Full Job 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 Engineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.
Key job responsibilities
- 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
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
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- Master's degree or Ph.D. degree in Electrical Engineering or related field
- Experience with formal verification techniques including abstraction and end-to-end checking
- Experience with current and upcoming RF standards in cellular (4G/5G), WiMAX, 802.11ad, microwave backhaul, DVB-S2 / DVB-C, or related broadband wireless standards
- Experience with industry standard tools and scripting languages (Python or Perl) for automation
- Experience with ARM and various DSP ISAs
