Data Center Engineer

Duration :  12 Months +

Full time on-site New York

Ideal Candidate: Data center engineer who also has worked with embedded devices under development.

Summary:

At Reality Labs, we develop hardware devices which run custom firmware and software. The hardware, firmware and software are continuously updated and tested in the lab to identify bugs, reliability or performance issues.

The main function of a lab technician is to manage the prototype device farm to ensure they are ready to perform automated firmware and software tests. A typical lab technician may work under the supervision of a production engineer or a lab manager.

This position requires physical presence at office in New York City 5 days a week.

Job Responsibilities

  • Set up, change and maintain prototype devices.
  • Monitor device health, and perform manual remediation as necessary when devices cannot be automatically remediated.
  • Perform device configuration changes as requested by software engineers.
  • Investigate testing failures which may be the result of hardware issues.

Skills:

  • Verbal and written communication skills, attention to detail, and problem solving skills.
  • Ability to work independently and manage one’s time.
  • Ability to analyze data and accurately document and record results.
  • Working knowledge of Linux.
  • Python or bash programming.
  • Quick to learn
  • Organized
  • Scripting under Linux for automation
  • Document everything

Education/Experience:

  • Bachelor’s degree in Computer Science or related technical fields.
  • Data center operation experience.
  • Experience working with consumer electronics development.

Good to have skills:

  • Linux
  • Working with electronics (embedded devices) under development.

Compelling Story & Candidate Value Proposition:     

  • Similar to a data center engineer, with a hardware device twist.

Typical Day in the Role:

  • General overview of what the day to day work they will accomplish Work in NYC Farley lab
  • Deploy and configure new devices or expand the existing device pool to support testing automation.
  • Monitor device health
  • Manually fix unhealthy devices (also known as “remediation”)
  • Create more dashboards and automated health monitoring solutions.
  • Automate device deployment.