Edge Engineer

WHO WE ARE Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too. We’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow’s machine learning open source and hosted tools. That includes counting cells https://blog.roboflow.com/cancer-research-computer-vision/ to accelerate cancer research, improving construction site safety https://blog.roboflow.com/preventing-accidents-on-construction-sites-with-computer-vision/, digitizing floor plans https://blog.roboflow.com/floor-plan-analysis-computer-vision/, preserving coral reef populations https://blog.roboflow.com/reefos-supercharging-coral-reef-restoration-with-ai/, guiding drone flight https://blog.roboflow.com/georeferencing-drone-videos/, and much more https://roboflow.com/templates. Roboflow is supported by great customers and investors, having raised over 63 million from Y Combinator, Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors. Roboflowers are passionate builders who value ownership, accountability, and a bias toward action. We're curious, hands-on with new tech, and prefer showing our work over talking about it. Many of us have a founder mindset and thrive in our high-autonomy environment. WHAT YOU’LL DO We’re hiring Edge Engineers to partner closely with our solution architect and implementation teams to drive new customer wins. You’ll have an immense impact on shaping the future of not only this role, but our company. As an Edge Engineer on Roboflow’s Field Engineering team, you’ll play a critical role in deploying and supporting our computer vision hardware in industrial and real-world environments. From shipping and assembling edge devices to managing full-scale rollouts at customer sites, your work ensures our systems perform reliably in the field. This is a hands-on, highly technical role where you will work across hardware, networking, and system configuration domains. You’ll be a trusted partner to both internal teams and customer stakeholders, ensuring that Roboflow’s edge solutions - including Jetson-based boxes, industrial cameras, and networking gear - are installed and operating at the highest standard. If you enjoy solving hardware challenges, optimizing field workflows, and traveling to see your impact firsthand, this role is for you. 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 WHO YOU ARE: - Hands-on hardware experience: You’ve 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: You operate with autonomy in the field and know when to escalate versus when to fix it yourself - Problem-solving mindset: You’re resourceful and calm when debugging issues on-site under time constraints - Excellent communicator: You 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…