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Foundry Robotics

AI-driven assembly robotics for industrial manufacturing

Network Engineer - Autonomous Factory

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeEmeryville, CA, USAIn-person

About the Job

Requirements

  • At least 7 years of network engineering experience, including at least one greenfield or major build-out of a campus, data center, or industrial facility.
  • Deep routing and switching knowledge, including OSPF or BGP, VLANs and VXLAN, spanning tree, LACP, QoS, multicast, and judgment about when to use them.
  • Physical-layer competence in fiber and copper plant design, cabling standards, rack and pathway planning, and working with electrical and facilities trades.
  • Experience with firewalls, VPN technologies including IPsec and WireGuard, and zone-based segmentation; ability to write and defend a security boundary.
  • Data center networking experience for compute racks, including 25/100G top-of-rack, storage and GPU traffic patterns, and out-of-band management.
  • Comfort using Linux, tcpdump, iproute2, and nftables to debug problems between a host routing table and a switch.
  • Ability to document and automate network infrastructure using network as code, version-controlled configurations, and self-built monitoring.

Responsibilities

  • Produce the factory network design, including physical plant, logical topology, IP plan, segmentation model, redundancy, and capacity, and coordinate construction with contractors and facilities.
  • Design and establish the server and GPU rack fabric, including high-speed top-of-rack, out-of-band management, storage traffic, and coordination with power and cooling.
  • Wire and segment robotic work cells, including controllers, safety systems, fieldbus segments, edge compute, cameras, and operator stations; ensure robotics middleware discovery and multicast work correctly.
  • Own the WAN and VPN edge, including redundant private cloud connectivity, failover, and monitoring to detect lost redundancy before an outage.
  • Operate the overlay network and its interaction with the underlay, ensuring overlay routing cannot hijack local traffic.
  • Operate floor-critical services, including DHCP, DNS and private cloud zones, NTP or PTP, network access control where appropriate, and firewall policy between zones.
  • Instrument switches, firewalls, and flow telemetry into the shared monitoring stack, and write runbooks.
  • Carry the network portion of ITAR and CMMC 2.0 Level 2 compliance, including boundary protection, access control, logging, configuration management, and evidence for assessors.
  • Enable remote fleet operations, including re-imaging, health checks, and access to cell compute without walking to the cell.
  • Design and build the network for the autonomous manufacturing facility from the ground up, then own it as the facility scales.
  • Work with engineering and manufacturing teams to design connectivity for new robotic work cells before they are built.

Desired Qualifications

  • Industrial or OT networking experience, including PLCs, EtherCAT or PROFINET, robot controllers, safety systems, and IEC 62443 concepts.
  • Experience with ROS 2 or DDS on real networks, including multicast discovery.
  • Experience with WireGuard-based overlays at scale and related underlay/overlay interaction problems.
  • AWS networking experience, including VPC, Transit Gateway, Site-to-Site VPN or Direct Connect, and private DNS.
  • Experience with video and camera networks, high camera counts, and bandwidth planning.
  • Experience with PTP or other precision time synchronization for robotics or measurement.
  • Prior work under ITAR, CMMC, or NIST SP 800-171, ideally producing assessment evidence.

About the Company

Foundry Robotics

AI-driven assembly robotics for industrial manufacturing

Foundry Robotics builds AI-driven robotics and software for industrial manufacturing, focusing on automating electromechanical assembly in high-throughput, high-mix environments. Its system combines robots, machine learning models, and a software-defined factory to enable data-driven assembly tasks that continuously improve through feedback loops. The company targets manufacturing workflows that are labor-intensive and hard to standardize, including defense-related production, aiming for observable, adaptable automation. The goal is to increase efficiency, adaptability, and scalability by turning production into programmable systems that respond to changing demand and constraints.

Company size
11-50
Company stage
Series A
Total funding
$113.5M
Headquarters
San Francisco, CA
Founded
2025

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