Edge Engineer

Responsibilities

Hardware Management & Logistics

• Assemble, configure, and test Roboflow edge devices for deployment (Jetson devices, servers, cameras, sensors, etc.)
• Build relationships with hardware partners and systems integrators to streamline sourcing and coordinate field support
• Ship devices to customers with proper documentation and configuration pre-sets
• Maintain inventory of hardware components, including cables, mounts, lenses, enclosures, and more
• Maintain an active parts backlog and reorder critical components as needed

Field Deployments & Onsite Execution

• Lead on-site device installations, hardware bring-up, and system validation
• Perform physical mounting, sensor alignment, cabling, and PoE configuration
• Ensure proper connectivity (RTSP, VPN, SSH) and integration with Roboflow’s software
• Travel up to 75% to customer locations

System Configuration & Support

• Support customers in field troubleshooting of cameras, inference pipelines, and data uploads
• Manage network setup on Linux-based edge devices (interface binding, static IPs, DHCP config)

Process Improvement & Documentation

• Contribute to internal tooling and processes that increase speed and consistency of deployments
• Create and maintain technical documentation, including SOPs, wiring diagrams, and setup guides
• Collaborate with product, engineering, and support teams to share field feedback and drive product improvement

Requirements

• Hands-on hardware experience: Worked with embedded devices (e.g., NVIDIA Jetson), industrial cameras, or similar hardware in field deployments
• Computer vision experience: Familiarity with Roboflow or similar computer vision inference pipelines
• Self-starter: Operate with autonomy in the field and know when to escalate versus when to fix it yourself
• Problem-solving mindset: Resourceful and calm when debugging issues on-site under time constraints
• Excellent communicator: Write clean, helpful documentation and collaborate effectively with both technical and non-technical teams
• Python and Bash scripting: Able to write scripts to automate routine tasks or customize device behavior
• Linux and Networking Proficiency: Comfortable with system-level debugging, interface configuration, and tools like nmcli, ifconfig, systemd, and docker

Nice to Have

• Experience with PoE cameras (e.g., Basler, Lucid Vision) or IP camera configuration
• Familiarity with manufacturing plant safety protocols and basic electrical wiring
• Experience building remote monitoring or telemetry solutions for edge devices

Compensation

• Target OTE: $95,000 - $105,000
• $4000/yr Travel Stipend
• $350/mo Productivity stipend
• $350/mo AI Tools
• $150/mo Team lunch
• $500/one-time Home Office
• Up to 100% health insurance costs
• Equity in the company