DevOps Engineer for AI Device Lab
1 week ago
We are seeking a highly skilled DevOps Engineer to join our team and support the development of cutting-edge AI technologies.
About the RoleThis on-site position involves hands-on management of lab hardware, software development for automating processes, and creation of APIs to interact with devices.
Key Responsibilities- Manage and maintain device farm and x86 hosts in a device lab setting.
- Develop Python automation tooling and infrastructure to support ML projects.
- Troubleshoot system issues and coordinate cross-site infrastructure efforts with local ML teams.
- Coordinate with local IT teams to ensure infrastructure redundancy and uptime.
- Plan, project, and deliver server farm upgrades as new ML hardware cycles are taped out.
- Proven experience as an MLOps/DevOps Engineer or similar role.
- Experience with industry standard CI/CD pipelines and automation tooling (e.g., Jenkins, GitHub CI).
- Proficient in Python programming and automated testing.
- Sysadmin experience within a device farm setting (physical device management).
- Advanced-level skills in Linux system administration, Docker, Git, Jenkins, NFS.
- Experience with SQL, data visualization tools.
- Strong problem-solving skills and ability to troubleshoot complex system issues.
- Excellent communication and collaboration skills to work effectively within a cross-functional team spanning several time zones.
- Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.
- OR Master's degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience.
- OR PhD in Science, Engineering, or related field.
We offer a competitive annual discretionary bonus program and opportunity for annual RSU grants. Our benefits package is designed to support your success at work, at home, and at play.
Salary Range$115,600 - $173,400 per year.
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