Full-Stack Engineer (Python/Rust) in Robotics

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in DNK
Remote
Entry level
Artificial Intelligence • Greentech • Robotics • Energy
The Role
Develop distributed software across cloud, edge, and operator interfaces for drone-based robotic wind turbine repair systems. Build React and TypeScript telemetry dashboards, Python or Rust backend services, REST/gRPC APIs, and data-management solutions for relational, time-series, and NoSQL databases. Implement testing, real-time data integrations, engineering visualizations, and technical documentation. Robotics, IoT, embedded systems, ROS 2, MAVLink, and high-frequency telemetry experience are beneficial.
Summary Generated by Built In

Reblade is a Danish tech startup founded in 2020, developing automated wind turbine blade repairs. We design and build drone-based robotic systems that utilize computer vision, sensors, and cloud software to deliver accurate and efficient operations and reporting workflows for some of the world’s largest wind energy operators.

Our team consists of highly skilled engineers within robotics, mechanical engineering, control systems, embedded systems, computer vision, and software development. We have several PhDs, post-docs and a professor on the team. The majority of our employees have relocated from all over the world to Denmark, creating a strong international culture of autonomy, technical excellence, and collaborative innovation.

We have a highly ambitious startup culture where everyone is a key contributor to building technology that works in the real world.
We are looking for Full-Stack Engineer to join our team in order to design and integrate distributed software across cloud, edge and operator interfaces: data visualization and cross-system communication.
Areas of responsibility

  • Frontend development and user interfaces: Build responsive, web-based interfaces for real-time telemetry monitoring and engineering data visualization. Use a modern frontend framework such as React with TypeScript (or an equivalent), integrating with backend APIs and streaming data sources.

  • Backend services and APIs: Develop FastAPI (or equivalent) services and REST/gRPC APIs for cloud-edge communication, primarily in Python or Rust.

  • Data management: Work with relational, time-series and NoSQL databases through appropriate frameworks and middleware for telemetry storage and management.

  • Quality and testing: Implement unit and integration tests across frontend and backend layers, including API integration and data-flow validation.

  • Documentation: Maintain UX wireframes, sequence diagrams and deployment guides.

Required skills and qualifications

  • Practical experience building web UIs using React, TypeScript, or an equivalent modern frontend framework.

  • Experience integrating frontend applications with REST APIs and real-time data streams, such as WebSockets or MQTT.

Beneficial

  • Experience developing telemetry dashboards, engineering visualization tools, or interfaces for robotics, IoT, or embedded systems.

  • Familiarity with MAVLink or ROS 2 web integration, such as rosbridge or roslibjs.

  • Experience with time-series visualization and high-frequency data rendering.

Skills Required

  • Practical experience building web UIs using React, TypeScript, or an equivalent modern frontend framework
  • Experience integrating frontend applications with REST APIs and real-time data streams such as WebSockets or MQTT
  • Experience developing telemetry dashboards, engineering visualization tools, or interfaces for robotics, IoT, or embedded systems
  • Familiarity with MAVLink or ROS 2 web integration, such as rosbridge or roslibjs
  • Experience with time-series visualization and high-frequency data rendering
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The Company
20 Employees
Year Founded: 2020

What We Do

Reblade is a Danish technology company developing automated wind-turbine blade repair solutions. Its drone-based robotic systems combine computer vision, sensors, and cloud software to perform leading-edge erosion repairs and streamline operational reporting. Designed for major wind-energy operators, the technology aims to reduce turbine downtime, repair costs, and maintenance bottlenecks while supporting more efficient onshore, offshore, and floating wind operations globally.

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