Deployment Engineer

Atem Corp; Memphis (TN); On-site; USD 95,000 - 135,000; Full time

Job summary

Atem Corp in Memphis, TN is seeking Deployment Engineers to deploy AI data center infrastructure across new builds, expansions, and high-density compute deployments. This role involves racking, cabling, labeling, and validating servers, switches, storage, GPUs, and related hardware.

You will coordinate with vendors, run deployment runbooks, and ensure adherence to client standards and safety in active data center environments. Some travel is required, including international assignments.

Qualifications

• 5+ years with 2+ years deploying/infrastructure in AI data centers including GPU/HPC, cloud, lab, networking, or technical operations environments
• Experience deploying and troubleshooting GPU servers, switches, storage systems, PDUs, optics, cabling, and related data center infrastructure
• Working knowledge of AI data center cabling standards, rack layouts, labeling practices, power paths, and physical deployment best practices
• Strong troubleshooting across hardware, cabling, Linux OS, and network connectivity issues
• Linux command-line experience and ability to read logs and run diagnostics
• Familiarity with scripting, automation workflows, or tooling used to validate hardware, cabling, and connectivity
• Ability to independently execute standard deployment workstreams with minimal supervision
• Experience with inventory management, asset tracking, remote work requests, and RMA processes
• Ability to travel domestically and internationally as needed
• Valid driver’s license and ability to lift up to 50 lbs

Responsibilities

• Deploying Client's AI data center infrastructure across new builds, expansions, refreshes, and high-density compute deployments
• Racking, stacking, cabling, labeling, and validating servers, PDUs, network switches, storage systems, GPU platforms, and related infrastructure
• Installing and commissioning servers, switches, routers, storage systems, GPU hardware, and other components
• Executing defined deployment workstreams using runbooks, cabling plans, rack elevations, port maps, checklists, and validation workflows
• Validating vendor and contractor work against Client standards for rack and stack, cabling, labeling, layout, and physical readiness
• Running LLDP checks, link validation steps, internal tools, automation workflows, and scripts to confirm cabling and network readiness
• Identifying and resolving miswires, optic issues, hardware faults, communication errors, provisioning blockers, and link inconsistencies
• Troubleshooting hardware, cabling, Linux OS, and network-adjacent issues during deployment activities
• Coordinating with vendors and contractors to correct build quality issues and complete assigned work
• Supporting DCTrack, NetBox, inventory, asset tracking, and deployment documentation updates
• Submitting RMAs, tracking remote work requests, and managing shipping, receiving, and component inventory during deployment projects
• Providing clear status updates on workstreams, including progress, blockers, risks, and escalation needs
• Partnering with Data Center Operations, Network Engineering, Infrastructure Engineering, Logistics, Facilities, Security, and vendors to support deployment readiness
• Supporting handoff of deployed infrastructure to steady-state operations and contributing to runbooks, validation workflows, and deployment procedures
• Following safety, security, quality, and operational standards in active data center environments

Skills

Deployment experience

GPU/HPC infrastructure

Linux CLI

Scripting/automation basics

Communication skills

Project coordination

Tools

DCTrack

NetBox

Job description

Deployment Engineers

Location : Memphis(preferred) or remote

What You'll Be Doing

• Deploying Client's AI data center infrastructure across new builds, expansions,
• refreshes, and high-density compute deployments
• Racking, stacking, cabling, labeling, and validating servers, PDUs, network
• switches, storage systems, GPU platforms, and related infrastructure
• Installing and commissioning servers, switches, routers, storage systems, GPU
• hardware, and other infrastructure components
• Independently executing defined deployment workstreams using runbooks,
• cabling plans, rack elevations, port maps, checklists, and validation
• workflows
• Validating vendor and contractor work against Client standards for rack
• and stack, cabling, labeling, layout, and physical readiness
• Running LLDP checks, link validation steps, internal tools, automation
• workflows, and scripts to confirm cabling and network readiness
• Identifying and resolving common miswires, optic issues, hardware faults,
• communication errors, provisioning blockers, and link inconsistencies
• Troubleshooting hardware, cabling, Linux OS, and network-adjacent issues
• during deployment activities
• Coordinating with vendors and contractors to correct build quality issues
• and confirm completion of assigned work
• Supporting DCTrack, NetBox, inventory, asset tracking, and deployment
• documentation updates
• Submitting RMAs, tracking remote work requests, and managing shipping,
• receiving, and component inventory during deployment projects
• Providing clear status updates on assigned workstreams, including
• progress, blockers, risks, and estimated completion
• Partnering with Data Center Operations, Network Engineering,
• Infrastructure Engineering, Logistics, Facilities, Security, and vendors to
• support deployment readiness
• Supporting handoff of deployed infrastructure to steady-state operations
• Participating in lessons learned and contributing to improvements in
• runbooks, validation workflows, and deployment procedures
• Following safety, security, quality, and operational standards while working in
• active data center environments

What You'll Add to Client

• Overall 5+ years with 2+ years of experience deploying, operating, or supporting
• infrastructure in AI data center including GPU/HPC systems, cloud, lab,
• networking, or technical operations environments
• Experience deploying and troubleshooting GPU servers, switches, storage
• systems, PDUs, optics, cabling, and related data center infrastructure
• Working knowledge of AI data center cabling standards, rack layouts,
• labeling practices, power paths, and physical deployment best practices
• Strong troubleshooting skills across hardware, cabling, Linux OS, and network
• connectivity issues
• Linux command-line experience, including working with terminal sessions, logs,
• and standard diagnostic commands
• Familiarity with scripting, automation workflows, or tooling used to validate
• hardware, cabling, and connectivity
• Ability to independently execute standard deployment workstreams with
• minimal supervision
• Ability to identify physical infrastructure issues such as miswires, incorrect
• labeling, improper cable routing, rack elevation mismatches, optic issues,
• or hardware placement errors
• Strong verbal and written communication skills, including the ability to clearly
• communicate status, blockers, risks, and escalation needs
• Ability to work professionally with contractors, vendors, and cross-
• functional teams during high-cadence deployment projects
• Strong problem-solving ability and willingness to perform technical deep dives to
• resolve deployment blockers
• Ability to operate effectively in fast-moving environments with shifting
• priorities, tight timelines, and limited local supervision
• Experience with inventory management, asset tracking, remote work requests,
• and RMA processes
• The ability to travel domestically and internationally based on deployment
• needs
• Support deployment schedules that include extended onsite periods, non-
• standard hours, or project-based rotations
• Valid driver's license and comfort with driving as needed
• Ability to remain on your feet throughout the workday
• Ability to lift objects up to 50 lbs