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 tackle complex technical challenges. The engineer will be responsible for ensuring the quality and performance of AI/ML accelerators throughout the product development lifecycle. This includes collaboration with various teams to bridge hardware and software domains.

• Strong programming skills in Python, Lua, C/C++, Rust, or Go.
• A solid understanding of computer architecture.
• Experience with AWS services and cloud infrastructure.
• Validation experience in areas such as PCIe, HBM, GPUs, or ML hardware architecture.
• Familiarity with the validation lifecycle from RTL simulation to silicon failure analysis.

• Develop comprehensive validation strategies and detailed test plans.
• Execute complex test plans from RTL simulation and emulation environments.
• Conduct hands-on silicon bring-up and debug in the lab.
• Validate ML accelerator performance, accuracy, and reliability.
• Build test infrastructure and automated regression frameworks for efficient validation.

• 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.