Software Test and Automation Engineer (SQA), Senior Staff at d-Matrix

Santa Clara, California, United States

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$175,000 – $290,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, SemiconductorsIndustries

Requirements

Bachelor’s degree with 7+ years of Industry experience in testing of software stack for chips (Masters preferred with 5+ years)
Fluent in Advanced Python programming with the ability to write data structures and algorithms
Experience testing and automating ML/AI models and workload is a plus
Prior experience with System Hardware and Software Testing is a plus
Experience with Linux OS and Linux kernel is a plus
Experience with Jira, Gitlab, Docker or other containers, and CI/CD infrastructures
Excellent cross-geography team-player and communication skills
Prior experience of entrepreneurship or working for a start-up is a plus

Responsibilities

Develop test suites, test cases, and test infrastructures for d-Matrix AI compute engine
Collaborate with Software Development Teams to design, automate, and execute software and system use cases
Implement Python programs to test workloads and ML Models within Pytest Framework
Implement and improve d-Matrix end-to-end test suite and regression test suite in CI/CD infrastructure using pytest framework, Jenkins, and Gitlab
Collaborate with product, software development, and systems teams on test coverage and results
Engage with test case implementation, software bug triaging, and debugging

Skills

Python

Pytest

Jenkins

Gitlab

Jira

Docker

Linux

CI/CD

ML Testing

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