Validation Engineer at ADCI - Karnataka

Department: aws

Compensation

$143,700 – $194,400/yr

Setup: On-site
Location: Austin, Texas
Type: Full-time
Level: mid
Posted: Sep 10, 2026

Description

Annapurna Labs is hiring a Validation Engineer for its Silicon Validation team to validate next-generation machine learning accelerators across silicon, PCB, high-speed components, interconnects, and system interfaces. The role covers validation strategies, test plans, RTL simulation and emulation, silicon bring-up and debug, ML accelerator performance testing, automated test infrastructure, and production-system support in AWS data centers. Candidates need strong programming, computer architecture, cloud and firmware, and post-silicon validation experience, with a base salary of 143,700–194,400 USD annually in Austin, Texas.

Required Skills

Python
C/C++
Rust
AWS
Firmware
PCIe
HBM
GPU
CI/CD
SystemVerilog
Emulation
Linux
Git
SSH

Additional Information

Required Previous Experiences: 3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture experience
3+ years of hands-on post-silicon validation or system validation engineering experience
Experience developing and executing validation test plans for complex SoCs, CPUs, or accelerators
Hands-on lab experience with hardware bring-up and debug equipment
Preferred Qualifications: 3+ years of full software development life cycle experience
Bachelor's degree in computer science or equivalent
Knowledge of AWS or cloud technologies
Experience building automated test frameworks and CI/CD pipelines
Deep domain expertise in PCIe or HBM
Experience with ML hardware architectures, neural network accelerators, or GPU validation
Hands-on experience with emulation platforms
Firmware development experience
Experience with EDA simulation tools and SystemVerilog/UVM testbenches
Track record of leading validation efforts and mentoring engineers
Self-starter comfortable with ambiguity and fast-paced environments
Systems thinking across the full validation lifecycle