Design Verification Infrastructure Engineer
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Key details
- Salary
- $163K–$236K/yr
- Location
- Austin, TX, United States
- Work style
- Onsite
- Level
- Senior
- Experience
- 8–11 yrs
- Function
- DevOps / Infrastructure
- Focus area
- Infrastructure / Cloud
- Posted
- 2d ago
Skills
cadci/cdcomputer architecturecontrol systemsgcpinfrastructure as codejenkinslinuxoracleperlpythonscriptingsqlterraform
About the role
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Develop and deploy tools and infrastructure to increase productivity of the Verification team.
- Develop and maintain infrastructure-as-code (IaC) using tools such as Terraform.
- Build and maintain infrastructure using managed GCP resources.
- Administer Linux systems, such as Slurm, Continuous Integration, and cluster file systems.
- Show continuous improvement to our verification flows.
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience in verification flow infrastructure or CAD.
- Experience with Python or Perl scripting languages.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience operating, triaging, and improving distributed compute farm systems.
- Experience with revision control systems and automation server tools such as Jenkins.
- Experience with databases such as SQL or Oracle and interfacing with both CAD and IT teams.
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience in verification flow infrastructure or CAD.
- Experience with Python or Perl scripting languages.