Post-Silicon Systems Validation Engineer I, Annapurna Labs

About the role

Annapurna Labs is a leading AWS organization with development centers in the U.S. and Israel. We specialize in building custom silicon and software solutions for AWS customers. Our team combines cloud-scale innovation with world-class expertise in silicon engineering, hardware design, verification, software, and operations to tackle unique technical challenges.

Responsibilities

• Own critical validation aspects across the entire product development lifecycle—from early design validation through emulation, silicon bring-up, post-silicon validation, and ongoing support of production systems deployed in AWS data centers.
• 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.
• Develop comprehensive validation strategies and detailed test plans covering functional, performance, power, and stress testing from silicon bring-up to product release.
• Execute complex test plans from RTL simulation and emulation environments through physical silicon validation.
• Conduct hands-on silicon bring-up and debug in the lab using oscilloscopes, logic analyzers, and protocol analyzers.
• Validate ML accelerator performance, accuracy, and reliability using real-world neural network workloads.
• Build test infrastructure, CI/CD, and automated regression frameworks to enable efficient validation at scale.
• Collaborate across architecture, design, firmware, and software teams to triage failures and drive root cause analysis to closure.
• Review test results, identify patterns, and provide feedback to improve design quality and validation coverage.
• Support production systems in AWS data centers and address field issues as they arise.

Requirements

• Currently has, or is in the process of obtaining a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related fields.
• Strong programming skills in two or more of: C/C++, Rust, Go, Python, Lua.
• A solid understanding of computer architecture (coursework or projects acceptable).
• Experience with Linux environments and Git.
• Experience with system test development, code reviews, source control, build processes, or automated deployments.

Preferred Qualifications

• Experience with AWS services or cloud infrastructure.
• Exposure to firmware development (BIOS, BMC, drivers).
• Validation experience in any of: PCIe, HBM, GPUs, neural networks, ML hardware architecture, and/or CI/CD.
• Familiarity with the validation lifecycle — RTL simulation (SystemVerilog/UVM, VCS, Questa, Xcelium), emulation (Palladium, Zebu, Veloce), or silicon failure analysis and debug.
• Exposure to Machine Learning hardware or software architecture (coursework or projects acceptable).

Benefits

Amazon offers a comprehensive benefits package including medical, dental, vision, prescription, life insurance, AD&D, 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 https://amazon.jobs/en/benefits.

Pay

The base salary range for this position is $110,500.00 - $160,000.00 USD annually.

Schedule

Our team operates in a fast-paced, startup-like environment, requiring flexibility and adaptability.