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Forward Deployed Engineer

Mind Robotics· Software Engineering
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Normal, ILFull-timePosted 4mo ago

About the role

Hands-on, on-site engineer responsible for provisioning, diagnosing, and sustaining Mind Robotics' data collection devices at a key customer site, with eventual transition to robot deployment support.

Responsibilities

  • Provision new hardware by installing and configuring Linux, deploying our software stack, and validating device health before bringing units into production.
  • Run diagnostic scripts, collect and interpret system logs, and execute command-line workflows to identify root causes of device or network issues.
  • Configure and troubleshoot local networking (IP, DHCP, DNS, VLANs, Wi-Fi/Ethernet) to ensure reliable device connectivity to our backend.
  • Serve as the customer's primary technical point of contact onsite, coordinating closely with HQ engineering and support to resolve issues and feed field learnings back into the product.
  • Develop code fixes for issues found in the field, including root-causing problems down to the code level and submitting changes through Git and code review.
  • Test and validate SW trials on field devices by running test plans, capturing results and regressions, and giving a go/no-go before builds roll out fleet-wide.
  • Be part of the SW sprints by joining planning, standups, and retros, picking up field-related tickets, and helping prioritize the backlog based on customer impact.
  • Bridge the gap between the SW team and FDE by turning field observations into reproducible bug reports (logs, steps, telemetry) and relaying software changes and new workflows back to the onsite team.
  • Build scripts and small tools that automate provisioning, diagnostics, log collection, and routine fleet maintenance.
  • Monitor fleet health using dashboards, metrics, and logs to catch issues early and verify that deployed fixes resolved the problem.
  • Support staged software rollouts and rollbacks across device groups.
  • Maintain runbooks, troubleshooting guides, and known-issue documentation.

Qualifications

  • Hands-on hardware and software troubleshooting experience, ideally with microcomputers, embedded devices, cameras, or similar single-board computers.
  • Comfort with Linux system administration: installing distributions, package management, systemd services, file permissions, and basic shell navigation.
  • Working knowledge of Bash (and ideally Python) for reading and running simple diagnostic scripts and automating routine tasks.
  • Solid networking fundamentals: TCP/IP, subnets, DNS, DHCP, basic firewall rules, and fluency with tools like ping, traceroute, tcpdump, and ssh.
  • Strong customer-facing communication skills and the self-direction to operate independently onsite while staying tightly coordinated with a remote HQ team.
  • Software development experience, with the ability to read, debug, and write production code (Python preferred).
  • Experience with Git-based workflows (branching, pull requests, code review) and working in an Agile/sprint environment.
  • Experience with software testing and validation: writing test cases, reproducing bugs, and clearly documenting results.
  • Prior experience in a field service, forward deployed, or solutions engineering role (is a plus).
  • Familiarity with DevOps and software infrastructure tools such as Docker, Ansible, Portainer, etc (is a plus).
  • Familiarity with computer vision systems, IP cameras, or industrial IoT deployments (is a plus).
  • Experience with Git, basic scripting in Python, or remote device management tools (is a plus).

Skills

Required:Linux system administrationBashPythonNetworking fundamentalsGit workflows
Nice to have:Field service / customer-facing
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Mind Robotics

Physical AI for the Real World

Mind Robotics is building intelligent robotics for industrial deployment. We believe the fastest path to broadly capable robots is through clearly defined, high-impact environments. We are starting where the need is most.

roboticsindustrial deploymentPhysical AImanufacturing
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