ASIC Design Engineer (Machine Learning Acceleration)

Location: Cupertino, CA, USA or Austin, TX, USA

Salary: $136,000–$184,000 annually in Austin; $157,300–$212,800 annually in Cupertino. Compensation may also include sign-on payments and RSUs.

Company

Amazon Web Services provides scalable cloud infrastructure and develops custom machine learning hardware, including AWS Inferentia.

What you will do

• Develop high-performance, area-efficient, and power-efficient RTL designs for custom SoCs and machine learning acceleration hardware.
• Create microarchitectures and implement SystemVerilog RTL with synthesis- and timing-clean results.
• Analyze architectures and designs to optimize feature, power, performance, and area trade-offs.
• Run lint and clock-domain-crossing quality checks to ensure design integrity.
• Collaborate with architects, designers, verification engineers, validation teams, synthesis specialists, timing engineers, and backend experts.

Requirements

• Bachelor’s degree in Electrical Engineering or a related field.
• Experience identifying bugs in architectures, algorithms, functionality, and performance, with strong debugging skills.
• Experience verifying logic at multiple levels, from IP blocks and SoCs to full-system testing.
• Strong ASIC design background and proficiency in SystemVerilog.
• Familiarity with interconnects, DMAs, memory subsystems, accelerator engines, debug, and system-level architectures.

Nice to have

• Master’s degree in Electrical or Communications Engineering or a related field.
• Experience with formal verification, including abstraction and end-to-end checking.
• Experience with ARM and DSP instruction set architectures.
• Experience with RF and broadband wireless standards, including 4G/5G NR, WiMAX, 802.11ad, or microwave backhaul.
• Experience with Python or Perl and industry-standard automation tools.

Culture & Benefits

• Inclusive environment supported by employee-led affinity groups and global learning initiatives.
• Flexible working hours with an emphasis on work-life balance.
• Mentorship, knowledge sharing, and career development through progressively complex projects.
• Benefits include health insurance, 401(k) matching, paid time off, parental leave, flexible spending accounts, and mental health support.