Data Center Technician
Groq · Dallas, United States
Infrastructureonsite
At a glance
Highlights
- Own hands-on operations for infrastructure powering Groq's AI inference cloud.
- Lead installation and bring-up of compute racks for production AI workloads.
- Support global cloud platform built on pioneering LPU inference processors.
Ideal candidate
Hands-on data center operator who thrives on ownership and reliability. Detail-oriented troubleshooter who enjoys fast-paced operations and keeping critical AI infrastructure running at scale.
Requirements
- 2+ years of experience in data center operations or a related field.
- Strong working knowledge of data center infrastructure, including servers, storage systems, and network devices.
- Hands-on experience installing, cabling, maintaining, and troubleshooting server and network hardware.
- Intermediate Linux skills and comfort working from the command line.
- Advanced fiber optic cabling skills.
- Experience with scripting languages such as Python or Bash.
- Experience with data center management software, such as DCIM or BMS.
- Familiarity with virtualization and container orchestration technologies, including Kubernetes.
- Strong troubleshooting, problem-solving, and analytical skills.
- Detail-oriented, with the ability to maintain accurate operational and asset records.
- Able to prioritize and execute effectively in a fast-paced operational environment.
- Strong communication and collaboration skills.
- Curious and motivated to continuously improve your knowledge of data center infrastructure and operations.
- Familiarity with tools such as MacBooks, Slack, and Google Workspace.
- A bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
- Ability to travel up to 10% of the time.
Lab profile
About Groq
Built LPU silicon and cloud platform delivering world's fastest AI inference at scale.
What they build
- LPU AI inference processor
- GroqCloud inference platform
Known for
- World's fastest inference at scale
- Purpose-built silicon for AI inference
- Silicon-to-cloud production infrastructure
Key facts
- Founded in 2016
- Headquartered in Mountain View, California
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