Remote Kernel SDET Lead — Linux AI Platform

Global Channel Management, Inc.; United States; Remote; USD 150,000 - 240,000; Full time

Job summary

Global Channel Management, Inc. is seeking a Remote Principal SDET to lead test strategy for a Linux kernel and AI platform, focusing on low-level infrastructure, performance, and security at scale.

You will drive automation, frameworks, and CI/CD for kernel testing, partner with core engineering, and mentor distributed teams while solving complex, non-deterministic system-level issues.

Qualifications

• 12+ years of relevant software engineering, development, or deep systems test experience in massive-scale or distributed environments.
• Advanced, hands-on software development and validation using C, focusing on Linux kernel-level infrastructure.
• Expert-level system-level automation and infrastructure validation using Python, Shell, and/or Perl.

Responsibilities

• Lead the comprehensive test strategy, validation standards, and quality benchmarks for a custom Linux kernel.
• Design, build, and scale automated test frameworks focused on performance, reliability, security, and kernel enhancements.
• Support porting modifications to newer kernel/VM infrastructure versions while improving build, automation, and CI/testing.
• Perform deep Linux kernel debugging, performance benchmarking, and system-level validation across test and production-like environments.
• Partner with core engineering teams to establish rigid quality standards and deliver reliable infrastructure at scale.
• Provide technical leadership, code reviews, architectural oversight, and mentorship in a remote environment.

Skills

C programming

Linux kernel

KVM

Virtio drivers

cgoups

Linux memory management

File systems

Block I/O

TCP/IP

Linux kernel debugging

CI/CD

Python

Shell

Perl

Education

Bachelor's degree in Computer Science/Computer Engineering

Tools

CI/CD tooling

Git

Shell scripting

Job description

Global Channel Management, Inc. is seeking a Remote Principal SDET to lead test strategy for a Linux kernel and AI platform, focusing on low-level infrastructure, performance, and security at scale.

You will drive automation, frameworks, and CI/CD for kernel testing, partner with core engineering, and mentor distributed teams while solving complex, non-deterministic system-level issues.