System Software Validation Engineer - Edge, Physical AI, and Robotics

Intel Corporation•Chandler, AZ

5d•$128,880 - $245,160•Onsite

About The Position

As a System Software Validation Engineer at Intel, you will help ensure the functionality, quality, and reliability of Intel software solutions. You will design and develop validation environments, create validation plans, and debug software across the stack in support of product development. The work contributes to software quality, automation, and efficient product releases. The role is part of Intel's engineering division, which develops, validates, and optimizes software across platforms and technologies. The position is on-site in Phoenix, Arizona.

Requirements

Bachelor's degree in Computer Engineering, Software Engineering, Electrical Engineering, Computer Science, or a related field.
At least 5 years of experience in software development, integration, validation, and debugging across complex software systems.
At least 3 years of experience with one or more of the following in Linux: developing and optimizing kernel components, device drivers, or user-mode drivers for graphics, AI, and high-performance compute platforms.
At least 4 years of experience in C and Python.
At least 4 years of experience in software debugging, performance analysis, root-cause investigation, and problem resolution using industry-standard tools and methodologies.
At least 4 years of experience designing and implementing automated test frameworks, validation infrastructure, and continuous integration workflows.

Nice To Haves

Advanced degree and at least 6 years of relevant experience.
Familiarity with Intel architectures, GPUs, AI accelerators, system software, and platform technologies.
Understanding of Large Language Models, Transformer architectures, Generative AI, and model lifecycle management, including training, fine-tuning, optimization, and deployment.
Strong foundation in computer science fundamentals, including operating systems, algorithms, data structures, software architecture, and applied mathematics.
Track record of effective collaboration across software, hardware, architecture, and product organizations.
Experience with deep learning frameworks such as PyTorch, TensorFlow, OpenVINO, ONNX Runtime, or OpenCV.
Problem-solving, communication, and technical leadership skills, with a passion for innovation and continuous improvement.

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.