Software QA Engineer - Staff at d-Matrix

Bengaluru, Karnataka, India

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$155,300 – $234,400Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Bachelor's or master's degree in Computer Science, Electrical Engineering, or related degree with 7+ Years of Industry Experience
Good knowledge of large language models and machine learning fundamentals
Good knowledge of Python programming, Python Data Structures, and Linux environment
Self-motivated team player
Desired
Prior startup, small team experience
Experience with Machine Learning models and their layers
Experience with Deep Learning, Tensorflow, Transformers, and PyTorch testing
Knowledge of Gitlab CI/CD infrastructure

Responsibilities

Develop test automation for d-Matrix components and products
Maintain and improve the test infrastructure for next-generation AI hardware
Build and scale the test framework to deliver highly qualified software stacks and hardware products
Leverage d-Matrix Gitlab CI/CD infrastructure and Pytest framework for component and end-to-end qualification
Develop large language model accuracy, benchmarking, and robustness testing using automation
Work with global ML core kernel teams, compiler teams, runtime teams, hardware architecture experts, and machine learning model researchers during the qualification process
Contribute to new ML/AI technologies

Skills

Pytest

GitLab CI/CD

Test Automation

Large Language Models

Benchmarking

Robustness Testing

CI/CD

Python

Software QA

Machine Learning

Compiler

Runtime

Hardware Architecture

d-Matrix

AI compute platform for datacenters

About d-Matrix

d-Matrix focuses on improving the efficiency of AI computing for large datacenter customers. Its main product is the digital in-memory compute (DIMC) engine, which combines computing capabilities directly within programmable memory. This design helps reduce power consumption and enhances data processing speed while ensuring accuracy. d-Matrix differentiates itself from competitors by offering a modular and scalable approach, utilizing low-power chiplets that can be tailored for different applications. The company's goal is to provide high-performance, energy-efficient AI inference solutions to large-scale datacenter operators.

Santa Clara, CaliforniaHeadquarters

2019Year Founded

$149.8MTotal Funding

SERIES_BCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees