Edge Engineer

Roboflow; United States; On-site; USD 110,000 - 150,000; Full time

Job summary

Roboflow is hiring Edge Engineers to deploy and support computer vision hardware in industrial environments. You will ship, assemble, and validate edge devices, work with networking, and ensure reliable field performance.

This hands-on role requires experience with embedded devices, robotics hardware, and field problem solving. You will travel up to 75% and collaborate with cross-functional teams to improve deployments and documentation.

Qualifications

• Hands-on hardware experience with embedded devices (e.g., NVIDIA Jetson) and field deployments.
• Familiarity with computer vision pipelines and Roboflow or similar frameworks.
• Autonomy in the field with proactive problem solving and strong documentation skills.
• Ability to write scripts to automate routine tasks on edge devices (Python/Bash).
• Comfort with Linux networking, device config, and debugging in field environments.

Responsibilities

• Assemble, configure, and test edge devices for deployment (Jetson devices, cameras, sensors).
• Lead on-site installations, hardware bring-up, and system validation at customer sites.
• Travel up to 75% to customer locations to install and support deployments.
• Collaborate with product, engineering, and support to relay field feedback and drive improvements.
• Create and maintain technical documentation, SOPs, wiring diagrams, and setup guides.

Skills

Hands-on hardware

Computer vision

Self-starter

Problem-solving

Technical communication

Python scripting

Bash scripting

Linux networking

Tools

Docker

nmcli

ifconfig

systemd

Job description

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 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 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 elevate 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 f