Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Amazon Web Services (AWS) · Austin, TX · 3 wk ago
Quality AssuranceFull-time
About the role
As a member of the Cloud-Scale Machine Learning Acceleration team, you’ll be responsible for the design and optimization of custom silicon in our data centers. You'll collaborate with multiple teams to drive improvements in silicon yield & performance.
Responsibilities
- Verify custom chip designs at the SOC level
- Integrate 3rd party IPs and VIPs into the SOC testbench
- Create comprehensive testplans, write robust random testcases, and execute coverage plans
- Maintain autosmoke and regression infrastructure
- Dive deep into bugs and triages
- Mentor junior engineers
Requirements
- Bachelor's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or related fields
- 8+ years of design verification experience using System Verilog and UVM
- 8+ years of experience in testbench development including: stimulus, checkers, assertions and coverage
Qualifications
- Experience verifying multiple levels of design including: custom blocks, IP blocks, sub-systems, and full-chip SOC system testing
- Experience using multiple verification platforms
- Experience with C/C++ and Object-Oriented Programming
- Experience with scripting languages, for example, Python
- Experience with AMBA protocols, for example, AHB/APB/AXI
- Experience with interconnect protocols, for example, PCIe and UCIe
- Experience with memory sub-systems, including cache coherency and synchronization techniques
- Experience with verifying complex CPU, GPU, or ML accelerator designs
Skills
- System Verilog and UVM expertise
- Testbench development skills
- Scripting languages like Python
- Verification platforms experience
- AMBA and interconnect protocols knowledge
- Memory sub-systems and cache coherency experience
- Complex CPU, GPU, or ML accelerator verification
Benefits
Amazon offers a comprehensive benefits package including medical, dental, vision, prescription, life insurance, AD&D 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.
Pay
The base salary range for this position is $183,000.00 - $247,600.00 USD annually.
Schedule
Details on the schedule are not specified in the job posting.