Senior ML Accelerator Validation Engineer

Annapurna Labs; San Diego (CA); On-site; USD 168,000 - 227,000; Full time

Job summary

Annapurna Labs, an AWS organization, designs and validates custom silicon and software for AWS customers. Our Silicon Validation team tackles ML accelerator validation across silicon, PCB, and high-speed interfaces in a fast-paced, startup-like environment.

You will collaborate with architecture, RTL, firmware, and software teams to ensure high-quality, scalable AI hardware that powers AWS services and customer workloads.

Qualifications

• 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.

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

Skills

Python

Lua

C/C++

Rust

Go

Education

Bachelor's degree in computer science / computer engineering

Tools

SystemVerilog/UVM

VCS

Questa

Xcelium

Palladium

Zebu

Veloce

Git

Linux

Job description

Annapurna Labs, an AWS organization, designs and validates custom silicon and software for AWS customers. Our Silicon Validation team tackles ML accelerator validation across silicon, PCB, and high-speed interfaces in a fast-paced, startup-like environment.

You will collaborate with architecture, RTL, firmware, and software teams to ensure high-quality, scalable AI hardware that powers AWS services and customer workloads.