Amazon · 3 months ago
Sr. Post-Silicon Systems Software Validation Engineer, Annapurna Labs
Annapurna Labs, an AWS organization, specializes in building custom silicon and software for AWS customers. The Senior Post-Silicon Systems Software Validation Engineer will lead validation efforts across the product development lifecycle, ensuring the performance and quality of next-generation AI/ML accelerators.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Developing comprehensive validation strategies and leads new methodologies to improve validation coverage and time to root cause
Role models detailed test plans covering functional, performance, power, and stress testing from silicon bring-up to product release
Mentors and provides direction to junior validation engineers
Executes complex test plans from RTL simulation and emulation environments through physical silicon validation
Handing complex debug including 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
Delivering new tests to production systems in AWS data centers and manufacturing to improve fleet health
Qualification
Required
5+ years of programming with at least one software programming language experience
Bachelor's degree or above in computer science, computer engineering, or related field, or Bachelor's degree
5+ years of non-internship system test development, code reviews, source control management, build processes, automated deployments, and operations experience
Experience with Linux environments and Git
Experience with server hardware and debug tools
Strong programming skills (Python, Lua, C/C++, Rust, Go, etc)
A solid understanding of computer architecture and chip/system validation methodologies
Experience with cloud infrastructure and CI/CD
Firmware testing and/or development (BIOS, BMC, drivers)
Domain expertise in any of these areas: PCIe, HBM, GPUs, neural networks, ML HW architecture
Knowledge of the full validation lifecycle from RTL simulation (SystemVerilog/UVM, VCS, Questa, Xcelium) and emulation (Palladium, Zebu, Veloce) through silicon failure analysis and debug
Preferred
Experience with Machine Learning Hardware/Software Architecture
Experience with CI/CD
Experience with EDA Simulations or Emulation
Benefits
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
Parental leave
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
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