ML Accelerator Validation Engineer

Amazon Web Services (AWS); Austin (TX); On-site; USD 143,700 - 194,400; Full time

Job summary

Annapurna Labs (U.S.) Inc. is seeking a Validation Engineer to join the ML Acceleration team. You will own validation across the full product lifecycle, from design validation through emulation and silicon bring-up, supporting production systems in AWS data centers.

You will collaborate with architecture, RTL, firmware, and software teams to ensure quality and performance of next-generation AI accelerators, bridging low-level hardware with ML workloads in a fast-paced environment.

Qualifications

• Bachelor's degree or above in computer science, electrical engineering, or related field.
• 3+ years of hands-on post-silicon validation or system validation engineering experience.
• Strong programming skills (Python, Lua, C/C++, Rust) for production-quality test code.
• 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.
• Strong problem-solving skills and ability to debug complex hardware/software issues.

Responsibilities

• As a Validation Engineer on our Machine Learning Acceleration team, you'll 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.
• You'll 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 domains—from low-level hardware interfaces to high-level ML workloads—to deliver exceptional results.
• 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.

Skills

Python

Lua

C/C++

Rust

Go

Education

Bachelor's degree in CS/EE

Tools

SystemVerilog/UVM

VCS

Questa

Xcelium

Palladium

Zebu

Veloce

Linux

Git

SSH

Job description

Annapurna Labs (U.S.) Inc. is seeking a Validation Engineer to join the ML Acceleration team. You will own validation across the full product lifecycle, from design validation through emulation and silicon bring-up, supporting production systems in AWS data centers.

You will collaborate with architecture, RTL, firmware, and software teams to ensure quality and performance of next-generation AI accelerators, bridging low-level hardware with ML workloads in a fast-paced environment.