Edge Systems Engineer

Location:

Paris

Team:

Engineering

About Uncovr

Uncovr is building AI-powered infrastructure for the future of surgery.

We work at the intersection of artificial intelligence, surgical video, clinical workflows, and healthcare technology. Our mission is to help surgical teams better understand, document, and improve surgical procedures by turning complex clinical data into structured, useful, and trustworthy insights.

As we deploy our systems into real clinical environments, we are looking for an Edge Systems Engineer to help ensure that Uncovr’s physical devices and connected systems operate reliably across hospital environments.


About the Role

We are looking for an Edge Systems Engineer to help build, manage, and scale the systems that connect Uncovr’s deployed hardware to our broader platform.

In this role, you will focus on the reliability, connectivity, remote management, monitoring, and data transfer of Uncovr’s physical systems in hospitals. These systems need to support real-time video acquisition, processing, upload, and streaming in real-world clinical environments where networks can be restricted, bandwidth can be limited, access can be difficult, and reliability matters.

You will work closely with engineering, cloud infrastructure, deployment, and hospital-facing teams to make sure deployed devices are healthy, remotely manageable, and able to transfer video and system data securely and reliably. You will also help troubleshoot technical issues in the field and improve the way Uncovr manages deployed hardware across multiple hospitals.

This is a hands-on engineering role for someone who enjoys working across hardware-connected software, networking, Linux-based systems, edge computing, video workflows, remote device management, and production reliability.


Key Responsibilities

Help design, configure, and manage Uncovr’s deployed edge systems in hospital environments.

  • Work with edge computing devices for real-time video acquisition, processing, and system integration.

  • Optimize high-speed video upload, processing, and streaming from edge devices to cloud infrastructure.

  • Ensure physical devices are reliable, observable, remotely manageable, and easy to support.

  • Build and improve systems for device monitoring, diagnostics, remote access, updates, and recovery.

  • Troubleshoot technical issues related to deployed hardware, connectivity, video acquisition, data transfer, streaming, and system health.

  • Improve data transfer reliability in restricted, intermittent, or low-bandwidth network environments.

  • Work on secure communication between deployed devices, hospital networks, and cloud systems.

  • Support scaling the management of deployed devices across multiple hospitals.

  • Collaborate with cloud, backend, deployment, and product teams to improve infrastructure reliability.

  • Help define playbooks for device setup, monitoring, troubleshooting, replacement, and recovery.

  • Identify recurring device, network, video, or deployment issues and turn them into engineering improvements.

  • Support field teams during deployments and escalations when technical issues arise.

  • Ensure deployed systems are secure, maintainable, and reliable in clinical environments.


What We’re Looking For

Experience in embedded systems, edge computing, Linux systems, infrastructure, networking, hardware-connected software, video systems, or a related engineering role.

  • Strong practical understanding of Linux-based devices, servers, or edge computing platforms.

  • Experience working with edge platforms or embedded compute environments, ideally for real-time video acquisition or processing.

  • Solid understanding of video streaming protocols and experience optimizing low-latency video upload or streaming workflows.

  • Experience troubleshooting connectivity, networking, data transfer, streaming, or remote system issues.

  • Comfort working with deployed systems that need to run reliably outside a standard cloud environment.

  • Understanding of remote device management, monitoring, logging, updates, and recovery workflows.

  • Ability to debug issues across hardware, operating systems, networks, software services, video pipelines, and cloud connectivity.

  • Strong scripting or programming skills, ideally in Python, C++, Bash, or similar.

  • Good understanding of security, access control, and reliable system operations.

  • Ability to communicate clearly with engineering teams, deployment teams, and non-technical stakeholders.

  • Comfort working in a fast-paced, ambiguous startup environment.


Nice to Have

Experience with edge computing platforms such as NVIDIA Jetson or similar systems.

  • Experience with edge devices, embedded Linux, IoT systems, on-premise appliances, or hardware deployed in the field.

  • Experience with remote fleet management, device telemetry, OTA updates, or automated recovery systems.

  • Experience with hospital networks, healthcare technology, medical devices, or restricted enterprise environments.

  • Experience with video capture, high-volume data transfer, streaming, encoding, or large-file upload workflows.

  • Familiarity with VPNs, firewalls, cellular connectivity, secure tunnels, network diagnostics, or bandwidth optimization.

  • Experience with Docker, systemd, device provisioning, monitoring agents, or infrastructure automation.

  • Experience supporting systems in low-bandwidth, unreliable, or access-restricted environments.

  • Interest in surgery, clinical workflows, AI infrastructure, and healthcare technology.


Who You Are

You are practical, systems-minded, and comfortable working close to the physical world.

You enjoy making devices reliable after they leave the lab. You understand that real-world deployments involve imperfect networks, restricted access, hardware quirks, hospital constraints, video pipeline issues, and unexpected failure modes. You are good at diagnosing problems, separating symptoms from root causes, and building systems that are easier to monitor, manage, and recover.

You care about reliability, security, maintainability, and operational simplicity. You are comfortable working across hardware, software, networking, cloud systems, video workflows, and field deployments.


Why Join Uncovr

At Uncovr, you will help build the edge infrastructure behind a new generation of surgical intelligence tools.

This is a high-ownership role for someone who wants to make advanced AI and surgical technology work reliably in real hospital environments, across physical devices, constrained networks, video systems, and production deployments.

Uncovr turns surgical video into structured clinical intelligence, powering real-time operative reporting, procedural coding, and clinical documentation workflows.

// New York

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// Paris

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uncovr.

© 2026 uncovr, aLL RIGHTS RESERVED

Uncovr turns surgical video into structured clinical intelligence, powering real-time operative reporting, procedural coding, and clinical documentation workflows.

// New York

--:--

// Paris

--:--

uncovr.

© 2026 uncovr, aLL RIGHTS RESERVED

Uncovr turns surgical video into structured clinical intelligence, powering real-time operative reporting, procedural coding, and clinical documentation workflows.

// New York

--:--

// Paris

--:--

uncovr.

© 2026 uncovr, aLL RIGHTS RESERVED