Lead ML Accelerator Validation Engineer

Amazon Web Services (AWS); Cupertino (CA); On-site; USD 193,000 - 262,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Annapurna Labs (U.S.) Inc. in Cupertino is seeking a Senior Validation Engineer to lead validation across the full product lifecycle for ML accelerators powering AWS cloud infrastructure.

You will collaborate with architecture, RTL, firmware, and software teams to ensure high quality, scalable validation from design validation to production systems in AWS data centers. This role demands cross‑domain impact and hands‑on debugging in lab environments.

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
• 5+ years of non‑internship system test development and related operations experience
• Experience with Linux environments and Git
• Experience with server hardware and debug tools
• Ability to work across architecture, RTL design, firmware, and software teams

Responsibilities

• Develop comprehensive validation strategies for ML accelerators across the product lifecycle
• Lead validation from RTL simulation through silicon bring‑up
• Collaborate with architecture, RTL, firmware, and software teams to ensure quality
• Execute test plans from RTL to production systems in AWS data centers
• Build test infrastructure, CI/CD, and regression frameworks at scale
• Mentor junior validation engineers
• Validate ML accelerator performance and reliability with real neural network workloads

Skills

Python

C/C++

Machine Learning Hardware

Linux

CI/CD

Firmware testing

Education

Bachelor's degree in Computer Science or Computer Engineering

Tools

SystemVerilog/UVM

VCS/Questa/Xcelium

GIT

Palladium/Zebu/Veloce

Job description

Annapurna Labs (U.S.) Inc. in Cupertino is seeking a Senior Validation Engineer to lead validation across the full product lifecycle for ML accelerators powering AWS cloud infrastructure.

You will collaborate with architecture, RTL, firmware, and software teams to ensure high quality, scalable validation from design validation to production systems in AWS data centers. This role demands cross‑domain impact and hands‑on debugging in lab environments.