Edge Engineer
RoboflowRemotePosted 21 February 2026
Job Description
Who We AreOur 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 to accelerate cancer research, improving construction site safety, digitizing floor plans, preserving coral reef populations, guiding drone flight, and much more.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 DoWe’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 & LogisticsAssemble, 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-setsMaintain inventory of hardware components, including cables, mounts, lenses, enclosures, and moreMaintain an active parts backlog and reorder critical components as neededField Deployments & Onsite ExecutionLead on-site device installations, hardware bring-up, and system validationPerform physical mounting, sensor alignment, cabling, and PoE configurationEnsure proper connectivity (RTSP, VPN, SSH) and integration with Roboflow’s softwareTravel up to 75% to customer locationsSystem Configuration & SupportSupport customers in field troubleshooting of cameras, inference pipelines, and data uploadsManage network setup on Linux-based edge devices (interface binding, static IPs, DHCP config)Process Improvement & DocumentationContribute to internal tooling and processes that increase speed and consistency of deploymentsCreate and maintain technical documentation, including SOPs, wiring diagrams, and setup guidesCollaborate with product, engineering, and support teams to share field feedback and drive product improvementWho You Are:Hands-on hardware experience: You’ve worked with embedded devices (e.g., NVIDIA Jetson), industrial cameras, or similar hardware in field deploymentsComputer vision experience: Familiarity with Roboflow or similar computer vision inference pipelinesSelf-starter: You operate with autonomy in the field and know when to escalate versus when to fix it yourselfProblem-solving mindset: You’re resour ... (truncated, view full listing at source)
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