HPC/AI Hardware Technical Deployment Specialist @HPE
Engineering
Salary usd 74,300 - 15..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted YDay

[Hiring] HPC/AI Hardware Technical Deployment Specialist @HPE

YDay - HPE is hiring a remote HPC/AI Hardware Technical Deployment Specialist. πŸ’Έ Salary: usd 74,300 - 150,500 per year πŸ“Location: USA

Role Description

This role has been designated as β€˜Remote/Teleworker’, which means you will primarily work from home.

Work as part of a team to install and deploy small, medium and large-scale high-performance computing systems in various customer locations in North America.

  • US Citizenship required
  • Remote position with travel required 70% of the time
  • US Federal clearance a plus but not required

Tasks and responsibilities include, but are not limited to:

  • Responsible for rack/stack, connecting and cabling system according to point-to-point cabling maps and SCHD specifications.
  • Power up, validate and run health checks on HW, troubleshooting and working to correct any issues.
  • Participate in system acceptance, working to resolve any HW fallout on the system.
  • Responsible for ordering, returning and managing parts while onsite and following all parts handling policies and procedures.
  • Analyze, troubleshoot, and resolve issues including HPE Enterprise systems, servers, storage, and networking.
  • Demonstrate hands-on practical knowledge of systems and policies.
  • Operational management tasks including, working to resolve escalations, and clearing blocking issues to enable continued delivery of HPC/datacenter support activities.
  • Provide appropriate documentation of tasks and activities and technical outlines.
  • Responsible for following all HPE Travel Policies and Procedures.

Qualifications

  • Ability to quickly learn and pick up hardware technical requirements as it relates to installation, troubleshooting and break-fix.
  • Understanding of a Data Center IT Operations environment.
  • Experience with fiber optic and/or copper cables; able to label, bundle, run and understand point to point mappings.
  • Experience and understanding of servers, storage, networking in a Datacenter environment.
  • Able to proficiently perform data center support tasks with little guidance.
  • Possess strong mechanical aptitude and ability to follow procedures to make component level repairs using ESD best practices.
  • Demonstrates a strong team mentality; able to work well with multiple cross functional groups.
  • Strong organizational skills; ability to manage multiple projects and administrative tasks that align within each.
  • Professional written and verbal communication skills.
  • Attention to detail with a focus on customer satisfaction.
  • Ability to lift 50 lbs.
  • Ability to stand on ladders.
  • Ability to stand for long periods of time.
  • Ability to operate manual and power hand tools.

Requirements

  • 2+ years of technical experience and an Associates Degree or equivalent degree in computer science or related area of study; without a degree, two additional years of relevant professional experience.

Benefits

  • Health & Wellbeing: Comprehensive suite of benefits that supports physical, financial and emotional wellbeing.
  • Personal & Professional Development: Programs catered to helping you reach any career goals you have.
  • Unconditional Inclusion: Commitment to creating an inclusive and accessible workplace.
Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
HPC/AI Hardware Technical Deployment Specialist @HPE
Engineering
Salary usd 74,300 - 15..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted YDay
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️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply βœ“
Applied βœ“
Sent Follow-Up βœ“
Interview Scheduled βœ“
Interview Completed βœ“
Offer Accepted βœ“
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Application Denied βœ“
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