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 configuration - Familiarity with manufacturing plant safety protocols and basic electrical wiring - Experience building remote monitoring or telemetry solutions for edge devices INTERVIEW PROCESS (~5 HOURS) Below is the interview process you can expect for this role. We are all motivated to work with an exceptional team, who you’ll be speaking directly with about what it's like to work and thrive at Roboflow. We like to be decisive and work fast, so don't be surprised if all the below conversations happen over a few days. Before the Interview: - We’ll review your application, LinkedIn, Github, etc. - The best way to stand out is to write about something you’ve built with Roboflow or contribute to one of our open source projects https://roboflow.com/open-source. - We may send you a technical screen if applicable. Introduction Phase: - [45m] Meet with hiring manager, Reed Johnson, to assess for overall mindset and skillset - This first interview is a time to get to know more about the role, allow us to get to know you better, and ensure it's a good fit for both parties to continue moving forward in the process Team Interview Phase: - [60m] Technical Assessment - meet with fellow Edge Engineer - [30m] Demo - build a project with Roboflow and share your work with Reed Johnson, hiring manager, and Jim Duffy, Global Solutions Lead Final Interview Stage: - [30m] Meet with Kate Wagner, Head of Operations, for a culture discussion - [30m] Meet with Joseph Nelson, CEO Note: you are welcome to request additional conversations with anyone you would like to meet and we will accommodate as best we can. WHO YOU'LL BE WORKING WITH Our team of ~60 attracts talent like executives that wanted to return to building, founders with a 100M+ exit, Roboflow users turned team members, open source contributors, a cyclist who biked across the United States, prolific high school hackers, a CTO from 100+ engineering organization, amongst many exceptional others. As an early Edge Engineer hire, you’ll be partnering directly with our co-founder/CEO and Sales leadership to not only do great work in the role, but shape how this function works for the future of Roboflow. WHERE YOU'LL WORK Roboflow is distributed across the US and Europe. We currently have Hubs in New York City, San Francisco and São Paulo (with plans to open more as we grow density in new cities). We provide opportunities (like team onsites in different cities) and resources https://blog.roboflow.com/how-we-work-together-at-roboflow/ (like a $4000/yr travel stipend) to work in person with other team members as much as you'd like, while also supporting remote team members. You can work from one of our Hubs (we offer a relocation bonus), work from home, work at co-working spaces, etc. We want you to work where you work best! WHEN YOU'LL WORK Roboflow primarily operates during the daytime hours in the US and there are some synchronous meetings you’ll be expected to attend each week. Apart from that, we have a flexible schedule that allows you to work collaboratively with other team members and asynchronously when needed. WHAT YOU'LL RECEIVE To determine your salary, we use a number of market and data-driven salary sources. We review all salaries every six months to ensure we stay in line with the market. 💰 The target OTE for this role is $95,000 📈 In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights: - $4000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers - $350/mo Productivity stipend to spend on things that make your work environment more productive, like high-speed internet at home or a co-working space - Cover up to 100% of your health insurance costs for you and your partner or family - Equity in the company so we are all invested in the future of computer vision NOT SURE IF THIS IS YOU? We want a diverse, global team with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, look into our Former Founders https://app.dover.com/apply/Roboflow/26d4ab31-e73d-47c8-9c25-ead170b5ac12/?rs=76643084role or subscribe to our career newsletter by emailing "Subscribe" to operations@roboflow.com. We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time. LEARN MORE ABOUT US We are building a diverse Distributed team https://blog.roboflow.com/how-we-work-together-at-roboflow/ that is distributed across the globe. Roboflow is an equal opportunity workplace; we welcome people from all backgrounds, communities, and experiences. We provide competitive compensation and stellar benefits to accelerate your personal and work life. Learn more about what it is like to work at Roboflow by reading these blog posts. https://blog.roboflow.com/tag/working-at-roboflow/ See our careers page https://roboflow.com/careers for all open listings. EQUAL EMPLOYMENT OPPORTUNITY At Roboflow, we believe great ideas come from everywhere—and everyone. We’re proud to be an Equal Opportunity Employer committed to building a diverse and inclusive team. We consider all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other legally protected characteristics.