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Software Automation Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Advanced Micro Devices
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    DevOps, Cloud Engineer - Software, Software Architect, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Automation Engineer

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them.

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.

THE ROLE:

AMD is seeking a strong engineer for Server Software Automation team focused on delivering scalable, high-quality, and extensible automation infrastructure. This role sits at the intersection of software engineering, automation, and AI innovation, offering the opportunity to shape how intelligent automation accelerates development velocity and enhances customer experience across AMD’s data center platforms.

You will work with highly skilled, globally distributed team of engineers and architects, working closely with system architects, firmware developers, validation teams, and product stakeholders. As part of the engineering leadership team, you’ll help influence strategy around continuous integration, development processes, and quality improvements while driving adoption of automation and AI-driven solutions.

This is a highly collaborative, hands‑on leadership role in a fast‑paced, globally connected environment spanning teams across Austin, Bangalore, Penang, and Taiwan.

THE PERSON:

A successful candidate is a hands‑on, high‑impact leader who thrives in a fast‑paced, global environment. They are passionate about building and developing high-performing teams, driving innovation, and leading by example.

They are collaborative, adaptable, and comfortable working across geographies and functions. Strong communication skills, a growth mindset, and the ability to mentor and elevate engineering talent are critical. This person is equally comfortable, influencing strategy, diving into technical challenges, and driving execution.

KEY RESPONSIBILITIES:
  • Lead and scale a global software automation team delivering high-quality, scalable solutions
  • Drive automation strategy across build, test, and release pipelines to improve speed and quality
  • Partner cross‑functionally with engineering, product, and architecture teams to align priorities
  • Develop and enhance robust CI/CD pipelines and automation frameworks
  • Contribute hands‑on to design, development, and debugging of automation systems
  • Lead end‑to‑end project execution across the software development lifecycle (SDLC)
  • Mentor engineers and build a high‑performing, growth‑focused team culture
  • Establish and track metrics to improve efficiency, quality, and release performance
  • Champion continuous improvement and adoption of AI‑driven automation solutions
  • Collaborate with global stakeholders to ensure alignment and successful delivery
PREFERRED EXPERIENCE:
  • Experience leading software engineering teams while remaining technically hands‑on
  • Strong background in building and scaling automation frameworks
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Knowledge of Kubernetes and distributed systems
  • Experience with backend/API automation using Python or similar languages
  • Expertise in microservices, REST APIs, and developer tooling
  • Strong understanding of CI/CD pipelines and automated test frameworks
  • Experience troubleshooting complex automation systems
  • Proven ability to scale infrastructure, tools, and pipeline performance
  • Experience working across global engineering teams and stakeholder groups
  • Strong communication skills with the ability to convey technical concepts to diverse audiences
ACADEMIC CREDENTIALS:
  • Bachelor’s or master’s degree in computer science, Computer Engineering, Electrical Engineering
  • Additional coursework or practical experience in AI/ML desired
LOCATION:

Austin, TX

This role is not eligible for visa sponsorship.

#LI-CS1

Benefits offered are described: AMD…

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