Design Automation & DevOps Software Engineer

Intel Corporation•Austin, TX

1d•$105,650 - $200,340•Hybrid

About The Position

Join Intel's All Cores Engineering (ACE) organization to be a part of the team responsible for delivering Intel's industry-leading CPU cores. You will work as a Design Automation & DevOps Software Engineer for the development of tools used in advanced CPU design. In this role you will be responsible for key aspects of the design infrastructure including managing an internal cloud of high-performance compute that is essential for CPU design and analysis. This role sits at the intersection of software engineering and CPU design. You'll join a team adopting AI-assisted development tools as part of the central engineering platform, with more workflows moving in that direction every day. You will contribute to both the established work of building and maintaining automation solutions and the forward-looking work of helping to realize the full potential of AI tools for CPU design.

Requirements

Bachelor’s in Software Engineering, Computer Science or related field with + 3 years of experience. Or a Master's degree in the same.
6+ months of educational experience in at least two of the following: Data structures and Algorithms.
6+ months of educational experience in at least two of the following: Programming and scripting skills (e.g. C/C++, Perl/Tcl, Python, shell scripting, etc.).
6+ months of educational experience in at least two of the following: Linux/Unix based environment and systems.
6+ months of educational experience in at least two of the following: AI S/W development tools, such as Claude Code or Cursor, Copilot or similar.

Nice To Haves

Prior experience related to design automation tools.

Responsibilities

Develop and deploy software solutions that enhance design tool capabilities to streamline debugging and improve overall design productivity.
Contribute to an AI based development environment that is actively expanding — helping to migrate, modernize, and standardize workflows.
Partner with compute and infrastructure teams to maintain a scalable, reliable design environment including an internal cloud that supports both our current workflows and the AI-augmented workflows we are building toward.