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Digital Service Engineer

Job in Memphis, Shelby County, Tennessee, 37544, USA
Listing for: TD Synnex
Full Time position
Listed on 2026-08-26
Job specializations:
  • IT/Tech
    IT Support
Salary/Wage Range or Industry Benchmark: 105000 - 130000 USD Yearly USD 105000.00 130000.00 YEAR
Job Description & How to Apply Below

TD Synnex seeks a Digital Pathology Field Service Engineer to install, maintain, and support advanced digital pathology systems across healthcare clients. In this field-based role, you'll troubleshoot hardware, software, and connectivity issues, perform preventive maintenance, and ensure optimal system performance in clinical environments. You'll train lab staff, document service activities, and collaborate with engineering teams to resolve complex problems. Join an innovative, collaborative culture that values learning and growth while you support impactful healthcare technology solutions.

Responsibilities

  • Install, configure, and maintain digital pathology instruments and software at client healthcare sites
  • Diagnose and resolve hardware, software, and connectivity issues to minimize downtime
  • Perform routine preventive maintenance, calibration, and quality checks
  • Train lab and clinical staff on system operation, workflows, and best practices
  • Document service activities, reports, and compliance records accurately
  • Collaborate with engineering and product teams to escalate complex technical issues
  • Support system upgrades, integrations, and rollouts in clinical environments
  • Ensure adherence to healthcare, safety, and data security regulations
  • Provide on-call and remote support as needed to meet service SLAs
  • Contribute feedback to improve product reliability and customer experience

Required Skills

  • Digital pathology systems
  • Field service troubleshooting
  • Medical imaging hardware
  • Networking and connectivity
  • System calibration and QAPreventive maintenance
  • Technical documentation
  • Customer training
  • Healthcare IT standards
  • Root cause analysis
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