The Validation Engineer role at Annapurna Labs focuses on validating next-generation machine learning accelerators that support AWS's cloud computing infrastructure. The position involves working in a dynamic environment with a team of experts to ensure the highest standards of quality and performance across the product development lifecycle. This includes collaboration with various teams to bridge hardware and software domains. The role is critical in developing custom silicon solutions that enhance AI training and inference capabilities.

• Bachelor's degree or above in computer science, electrical engineering, or a related field
• 3+ years of hands-on post-silicon validation or system validation engineering experience
• Strong programming skills in Python, Lua, C/C++, Rust, or similar languages
• Experience developing and executing validation test plans for complex SoCs, CPUs, or accelerators
• Hands-on lab experience with hardware bring-up and debug equipment
• Solid understanding of computer architecture and digital design principles
• Proficiency with Linux environments, Git, and SSH
• Experience building automated test frameworks and CI/CD pipelines
• Deep domain expertise in PCIe (Gen4/Gen5/Gen6) or HBM2/HBM3
• Experience with ML hardware architectures, neural network accelerators, or GPU validation
• Hands-on experience with emulation platforms such as Palladium, Zebu, or Veloce
• Knowledge of AWS services and cloud infrastructure
• Firmware development experience including BIOS, BMC, or drivers
• Experience with EDA simulation tools and SystemVerilog/UVM testbenches
• Track record of leading validation efforts and mentoring engineers
• Highly motivated self-starter comfortable with ambiguity and fast-paced environments
• A systems thinker who understands the full validation lifecycle

• 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

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.