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Lumafield

Industrial CT scanning with AI inspection

Infrastructure Engineer - On-Prem Systems

Platform EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 3 years of building and operating physical server infrastructure, including racking, cabling, sizing power, and debugging issues after deployment.
  • Experience with Linux server administration, network troubleshooting, Docker deployments, and productionizing systems.
  • Experience configuring Linux systems, applying best practices, and automating workflows with Ansible and scripting.
  • Hands-on experience with bare-metal provisioning, including PXE/netboot, cloud-init, golden images, and firmware or BIOS configuration through Redfish or IPMI.
  • Networking depth covering VLANs and subnetting, DHCP and DNS, firewall policy, and link aggregation.
  • Working knowledge of Kubernetes on fixed capacity.

Responsibilities

  • Design standalone, high-performance on-premises systems, including compute nodes, storage topology, networking, power, and rack layout.
  • Prototype and profile systems by benchmarking throughput, network bandwidth, and memory contention.
  • Own the engineering deliverables Manufacturing needs to build systems independently, including hardware and software bills of materials, wiring and rack diagrams, network and IP plans, and provisioning and test work instructions.
  • Harden appliances for customer sites with encryption, network segmentation and firewall policies, and update mechanisms that work across an air gap.
  • Run Kubernetes on fixed capacity, including node pools, worker placement, and underlying storage and database services.
  • Partner with Manufacturing, Supply Chain, and Field Services to move prototypes into repeatable products and support issues returned from the field.
  • Feed on-premises constraints into the technology roadmap and align the next generation of the pipeline with its target hardware.

Desired Qualifications

  • Production experience with ZFS, including pool topology, resilver behavior, and native encryption.
  • Experience shipping hardware, including manufacturing handoff, ECO processes, or field service of deployed systems.
  • Familiarity with NVIDIA GPU compute on ARM platforms, including DGX, Jetson, or CUDA, or with air-gapped or sensitive-data deployments.

About the Company

Lumafield

Industrial CT scanning with AI inspection

Lumafield provides industrial CT scanning and AI-powered inspection for manufacturing. Its core tools include the Neptune industrial CT scanner and Voyager analysis software, which enable on-line, rapid, high-volume CT scans of products to reveal internal defects. The Atlas AI engine analyzes scan data to give actionable engineering insights, helping teams solve manufacturing challenges and speed up design, build, and shipping. Unlike competitors that offer standalone scanners or software, Lumafield combines hardware (on-line CT) with integrated software and a scalable AI knowledge base, allowing automated defect detection and practical guidance in one workflow. The company aims to help manufacturers improve product quality, cut costs, and shorten time-to-market by providing secure, scalable scanning and analysis services through a mix of equipment sales, software subscriptions, and AI-enabled insights.

Company size
51-200
Company stage
Debt Financing
Total funding
$202.5M
Headquarters
Cambridge, MA
Founded
2019

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