Annapurna Labs an AWS organization with development centers in the U.S. and Israel builds custom silicon and software for AWS customers. Our team combines cloud-scale innovation with world-class expertise across silicon engineering hardware design verification software and operations to tackle technical challenges that have never been seen before.
Join our Silicon Validation team to validate next-generation machine learning accelerators that power AWSs cloud computing infrastructure. Youll work in a fast-paced startup-like environment alongside some of the brightest minds in the industry on cutting-edge internet-scale technology that directly impacts how customers use Machine Learning acceleration. We are changing the landscape of cloud infrastructure by accelerating the development of custom silicon by moving beyond traditional partnerships to dominate in AI training and inference
Your work will span validation of the complete vertical stacksilicon PCB high-speed components (HBM PCIe chip-to-chip) inter-system connections and system-to-system interfaces. Youll dive deep into new technology hardware components and scaling technologies that power our Machine Learning boards and servers at scale ensuring every component of our hardware and software comes together into products our customers rely on.
Key job responsibilities
As a Validation Engineer on our Machine Learning Acceleration team youll own critical validation aspects across the entire product development lifecyclefrom early design validation through emulation silicon bring-up post-silicon validation and ongoing support of production systems deployed in AWS data centers. Youll collaborate deeply with architecture RTL design design verification firmware and software teams to ensure our next-generation AI/ML accelerators meet the highest standards of quality and performance. This role requires bridging multiple domainsfrom low-level hardware interfaces to high-level ML workloadsto deliver exceptional results.
We are looking for candidates with:
- Strong programming skills (Python Lua C/C Rust Go etc)
- A solid understanding of computer architecture
- Experience with AWS services cloud infrastructure firmware development (BIOS BMC drivers)
- Validation experience in any of these areas: PCIe HBM GPUs neural networks ML HW architecture and/or CI/CD
- Familiarity with the validation lifecycle from RTL simulation (SystemVerilog/UVM VCS Questa Xcelium) and emulation (Palladium Zebu Veloce) through silicon failure analysis and debug
A day in the life
- Developing comprehensive validation strategies and detailed test plans covering functional performance power and stress testing from silicon bring-up to product release
- Executing complex test plans from RTL simulation and emulation environments through physical silicon validation
- Conducting hands-on silicon bring-up and debug in the lab using oscilloscopes logic analyzers and protocol analyzers
- Validating ML accelerator performance accuracy and reliability using real-world neural network workloads
- Building test infrastructure CI/CD and automated regression frameworks to enable efficient validation at scale
- Collaborating across architecture design firmware and software teams to triage failures and drive root cause analysis to closure
- Reviewing test results identifying patterns and providing feedback to improve design quality and validation coverage
- Supporting production systems in AWS data centers and addressing field issues as they arise
- Experience with general troubleshooting/debugging of hardware or experience in computer architecture
- 3 years of non-internship professional software development testing experience
- Experience working with Linux
- Experience with Machine Learning Hardware/Software Architecture
- Experience with CI/CD
- Experience with EDA Simulations or Emulation
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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 TX Austin - 143700.00 - 194400.00 USD annually