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1–2 jobs· newest first

Field EngineerNew
ODIN Labs, Inc. · US
Competitive salary packageSenior
GPU Platform SME (AI Infrastructure Validation)New
Lenovo · Morrisville, US
On-site · Full-time · Mid

+10K new in the last hour

Field Engineer

ODIN Labs, Inc. · Posted Nov 10, 2026

Michigan, United States
Senior
Competitive salary package
6+ years

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AI

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Deploy and decommission Odin’s hardware and software on job sites across the Detroit metro area, lead custom builds and R&D, and coordinate with site teams and engineering.

Responsibilities

Deploy and decommission hardware and software on job sites
Lead custom builds and R&D for edge compute, power management, and network configurations
Coordinate with integrators, electricians, and general contractors
Troubleshoot hardware, network, and camera issues on site
Bench-test and train Odin field staff

Requirements

Nice to have: Cisco CCNA
Nice to have: CompTIA Network+
Nice to have: BICSI
Nice to have: NICET
Nice to have: ETA Fiber Optics Installer

Skills

low-voltage wiring structured cabling PoE budgeting UPS and battery backup network configuration VLANs PoE switching Wi-Fi subnetting firewalls LTE failover Linux-based edge devices command-line diagnostics custom hardware builds access control IP cameras turnstiles Cisco CompTIA BICSI NICET ETA NABCEP Axis Genetec LenelS2 HID

Benefits

Comprehensive health insurance coverage
Flexible working hours
Remote work options
Generous vacation and paid time off

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GPU Platform SME (AI Infrastructure Validation)

Lenovo · Posted Nov 9, 2026

Morrisville, North Carolina, United States
On-site
Full-time · Mid
6+ years

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Lead GPU platform validation, architecture strategy, and technical leadership for next-generation AI infrastructure platforms.

Responsibilities

Study and validate GPU platform architectures
Define and execute integrated validation strategies
Coordinate validation readiness and infrastructure planning
Lead validation activities across node, rack, and cluster levels
Perform failure analysis, debugging, and root cause investigations

Requirements

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Computer and Information Science, or related discipline
Nice to have: Advanced AI infrastructure platforms (NVIDIA HGX, DGX, GB200, GB300, NVL72)
Nice to have: Rack-scale AI systems
Nice to have: GPU clusters
Nice to have: High-speed Ethernet fabrics

Skills

BIOS/UEFI Baseboard Management Controllers (BMC)Operating systems CPU and memory subsystems Storage technologies

Networking technologies

Software applications

GPU interconnect

High-speed networking

System integration testing

Functional validation

Performance testing

Reliability testing

Failure analysis

Root cause investigation

Linux administration

Command-line diagnostics

Server troubleshooting

Shell scripting

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