AI-Driven Design Automation & DevOps Engineer (Hybrid)

JobCubby

Austin (TX)

Hybrid

USD 106,000 - 200,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work model
Stock bonuses
Health insurance

Job summary

Intel is seeking a Design Automation & DevOps Software Engineer to enhance design tool capabilities and build AI-enabled workflows for CPU design. You will help maintain a scalable internal cloud and collaborate with compute and infrastructure teams to deliver reliable design environments.

The role blends software engineering with hardware design, requiring strong problem-solving, collaboration, and a passion for AI-assisted engineering in a demanding, innovative setting.

Qualifications

  • Bachelor’s in Software Engineering, Computer Science or related field with 3+ years of experience.
  • Master’s degree in the same is also acceptable.
  • 6+ months of educational experience in at least two areas: data structures & algorithms; programming/scripting; Linux/Unix; AI software development tools.

Responsibilities

  • Develop and deploy software solutions that enhance design tool capabilities to streamline debugging and improve design productivity.
  • Contribute to an AI-based development environment expanding migration, modernization, and standardization of workflows.
  • Partner with compute and infrastructure teams to maintain a scalable, reliable design environment and internal cloud.

Skills

C/C++
Python
Shell scripting
Linux
AI tools

Education

Bachelor's in Software Engineering or Computer Science
Master's degree in related field

Tools

Claude Code
Copilot

Job description

Intel is seeking a Design Automation & DevOps Software Engineer to enhance design tool capabilities and build AI-enabled workflows for CPU design. You will help maintain a scalable internal cloud and collaborate with compute and infrastructure teams to deliver reliable design environments.

The role blends software engineering with hardware design, requiring strong problem-solving, collaboration, and a passion for AI-assisted engineering in a demanding, innovative setting.

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