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Текст:
Hirify AI/Оригинал
TL;DR
Onsite Engineering Manager (Robotics): Leading a forward deployed and software engineering team responsible for industrial robot data collection devices and deployment support with an accent on fleet reliability, customer-facing incident management, and hands-on diagnostics. Focus on managing onsite engineers, defining uptime and data-capture targets, troubleshooting Linux, networking, and embedded systems, and translating field issues into product fixes.
Location: On-site in Normal, IL, United States
Company
hirify.global is building Physical AI for real-world industrial deployment, starting with factory-floor robotics.
What you will do
Lead and grow an onsite team of Forward Deployed Engineers and Software Engineers, including hiring, onboarding, 1:1s, performance management, and coverage across customer operating hours.
Own the reliability of critical robot data collection devices, including uptime, data-capture, and time-to-resolution targets, dashboards, and operational reviews.
Set onsite technical standards for provisioning, diagnostics, networking, repeatable device bring-up, runbooks, and postmortems.
Own the senior technical relationship with the customer by scoping requests, communicating incidents and timelines, and managing difficult conversations.
Run escalations into HQ engineering, deciding what is handled in the field versus fixed in the product and representing field needs in roadmap prioritization.
Stay hands-on with device, network, and deployment problems; build and review pull requests and lead trialing and testing of images, bug fixes, and feature work with offsite teams.
Requirements
3+ years of experience managing engineers in field, hardware, infrastructure, or platform teams, including hiring, coaching, and supporting growth.
Deep hands-on troubleshooting experience with embedded devices, single-board computers, cameras, or similar hardware, with enough depth to review engineering diagnoses.
Working knowledge of Linux system administration and Bash or Python, including the ability to read systemd units, provisioning scripts, and tcpdump captures.
Solid networking fundamentals, including TCP/IP, subnets, DNS, DHCP, VLANs, and firewall rules, with the judgment to distinguish internal issues from customer-network issues.
Customer-facing maturity and the ability to manage outage and delivery-date conversations while maintaining the relationship.
Self-direction to run a site away from HQ and discipline to keep HQ informed proactively.
Nice to have
Experience establishing or scaling a forward deployed, field service, or solutions engineering team.
Previous experience as a Forward Deployed Engineer or in a similar onsite role.
Familiarity with fleet and infrastructure tooling such as Docker, Portainer, Ansible, Grafana, Prometheus, and remote device management.
Background in robotics deployment, computer vision systems, IP cameras, or industrial IoT.
Experience running incident response and postmortem practices across a distributed fleet.
Culture & Benefits
Hands-on work with physical AI and real-world industrial robotics.
Onsite collaboration with a key customer and close coordination with HQ and offsite engineering teams.
Ownership of both fleet reliability and the engineers responsible for keeping the deployment running.
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