Join Mind Robotics as a Forward Deployed Engineer to support robotic systems in real-world industrial environments.
Posted by employer 3 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
The Forward Deployed Engineer at Mind Robotics plays a crucial role in managing and maintaining a fleet of data collection devices at a key customer site, ensuring their operational efficiency through hands-on troubleshooting and support. This position requires a solid foundation in Linux system administration, networking, and hardware diagnostics, along with the ability to communicate effectively with both customers and the remote engineering team. Ideal candidates are technically adept, self-motivated, and thrive in dynamic environments, making this role suitable for those with experience in field service or solutions engineering.
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Quick facts
From the original posting
Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion.
At Mind Robotics, we're building generalized physical AI — robotic systems capable of dexterous, adaptive, and reasoning-intensive work in real-world industrial environments. We’re hiring a Forward Deployed Engineer to be our hands and eyes onsite at a key customer in Normal, IL. You’ll be responsible for our fleet of data collection devices — diagnosing and repairing devices, provisioning new hardware, troubleshooting networking, and running the diagnostic workflows that keep the system healthy. This role will start with critical robot data collection devices and then transition into robot deployment support.
This is a forward-deployed role with strong support from HQ. You won’t be alone: our engineering team is one Slack message away, and you’ll work closely with them to escalate complex issues, ship fixes back into the product, and bring the voice of the customer into our roadmap. The ideal candidate is technically curious, calm under pressure, and energized by being the person on the ground who makes things work.
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.
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.
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.
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