Edge AI & Robotics Systems Validation Engineer

Intel Corporation; Chandler (AZ); On-site; USD 129,000 - 245,000; Full time

Job summary

Intel Corporation in the United States (Arizona) is seeking a System Software Validation Engineer to design, implement, and run validation environments for complex software stacks. You will develop validation plans, automate tests, and debug issues across kernel, driver, and user-mode layers.

The role emphasizes reliability, performance analysis, and continuous integration workflows. Collaboration with cross-functional teams and advanced AI/ML software contexts are expected.

Qualifications

• Bachelor's degree in Computer Engineering, Software Engineering, Electrical Engineering, Computer Science, or related field.
• 5+ years of experience in software development, integration, validation, and debugging across complex software systems.
• Linux Enthusiast with 3+ years of experience developing kernel components, device drivers, and user-mode drivers for graphics, AI, and HPC platforms.

Responsibilities

• Design and develop software validation environments to ensure product functionality and reliability.
• Create and execute validation plans and automation methodologies.
• Triage and debug software failures, recommending or developing corrective actions.
• Analyze validation results to confirm functionality and compliance with standards.
• Write and maintain validation procedures and standards to drive consistency and quality improvements.
• Assess and implement innovative methods to enhance validation efficiency and automation.

Skills

5+ years software

Linux

C language

Python

Debugging

Automation tests

Education

Bachelor's degree

Tools

CI/CD pipelines

Linux debugging tools

Job description

Intel Corporation in the United States (Arizona) is seeking a System Software Validation Engineer to design, implement, and run validation environments for complex software stacks. You will develop validation plans, automate tests, and debug issues across kernel, driver, and user-mode layers.

The role emphasizes reliability, performance analysis, and continuous integration workflows. Collaboration with cross-functional teams and advanced AI/ML software contexts are expected.