Site Reliability Engineer (SRE) Intern — AI Infrastructure

NWU; Palo Alto (CA); On-site; USD 37,000 - 72,000; Full time

Benefits offered by this job

Paid sick leave

Holidays (13)

Medical plan for interns

Job summary

NWU in Palo Alto, CA seeks a hands-on intern to support deployment, configuration, and maintenance of high-performance AI infrastructure. You will work with servers, storage, networking, and software in secure environments, collaborating on bare-metal systems, Kubernetes, and Slurm.

Ideal candidates are pursuing or have completed a CS/CE degree, with Linux, scripting, and an interest in CI/CD, observability tools, and cloud infra.

Qualifications

• Pursuing or recently completed a Bachelor's or Master's in computer engineering, computer science, or related field.
• Basic understanding of server hardware, firmware lifecycle, Linux environments, and security standards.
• Exposure to Bash or Python scripting.
• Familiarity with configuration management, CI/CD tools, workload managers, cluster software (Slurm, Kubernetes), and observability tools (Prometheus, Grafana, ELK).
• Strong problem-solving and analytical skills.
• Ability to work independently and in a team.
• Professional fluency in English; Mandarin preferred.
• Interest in AI infrastructure, distributed systems, or cloud infrastructure.

Responsibilities

• Support deployment, configuration, and maintenance of AI infrastructure servers, storage, networking equipment, and software.
• Assist with hardware diagnostics, system checks, and firmware updates.
• Collaborate with engineering teams on bare-metal systems, Kubernetes, and Slurm.
• Provide first-line engineering support for onsite operational issues including troubleshooting hardware, network, software, and firmware compliance.
• Document incident details, resolutions, and lessons learned; keep knowledge base up to date.

Skills

Server hardware

Firmware lifecycle

Linux environments

Bash scripting

Python scripting

CI/CD tools

Workload managers

English fluency

Education

BSc/MSc in CS

Tools

Slurm

Kubernetes

Prometheus

Grafana

ELK

Job description

Your Role

Here’s what you will be doing:

• Support deployment, configuration, and maintenance of high-performance AI infrastructure servers, storage, networking equipment, and software in secure environments.
• Assist with hardware diagnostics, system checks, and firmware updates.
• Collaborate with engineering teams to deliver tailored customer environments such as bare-metal systems, Kubernetes, and Slurm.
• Provide first-line engineering support for onsite operational issues including troubleshooting hardware, network, software problems, and firmware compliance.
• Document incident details, resolutions, and lessons learned to improve future problem-solving.
• Maintain clear and up-to-date documentation to support team knowledge sharing.
• Participate in team meetings and knowledge-sharing sessions to foster collaboration and continuous learning.

About You

The company is looking for:

• Currently pursuing or recently completed a Bachelor's or Master's degree in computer engineering, computer science, or related technical field.
• Basic understanding of server hardware, firmware lifecycle, Linux environments, and physical/system-level security standards.
• Exposure to scripting languages such as Bash or Python.
• Familiarity with or strong interest in configuration management, CI/CD tools, workload managers, cluster software (e.g., Slurm, Kubernetes), and observability tools (e.g., Prometheus, Grafana, ELK).
• Strong problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Professional fluency in English; Mandarin is highly preferred.
• Preferred qualifications include coursework, projects, or experience related to AI infrastructure, distributed systems, or cloud infrastructure.
• Familiarity with networking fundamentals and Linux system administration.
• Genuine interest in AI/ML infrastructure.

Compensation & Benefits

• Hourly pay range: $27.12 to $51.93, depending on knowledge, skills, and experience.
• Eligibility for 1 hour of paid sick leave for every 30 hours worked.
• Up to 13 paid holidays annually.
• Full-time interns may enroll in the company-sponsored medical plan, subject to plan terms and conditions.