Sensor Fusion & Integration Engineer

As a Sensor Fusion & Integration Engineer, you will work across the Sensing team's full pipeline: from adapting and integrating external sensors — including military-grade sensing payloads — into our systems, to building and tuning the data/sensor fusion logic that combines detections from multiple sensors into a single, reliable picture, to solving geolocation and tracking problems so that objects of interest are accurately and consistently positioned over time.

This is a transversal, hands-on engineering role. You will design and implement sensor adapters and interfaces, contribute to the detection-to-track-to-fused-track pipeline, tune and debug tracking/localization algorithms against real and synthetic data, and integrate your work using ROS2, modern C++, and Rust. You will work closely with the rest of the Sensing team as well as adjacent teams behind autonomous mission execution, mission planning, and hardware/payload integration to ensure new sensors and fusion capabilities are delivered reliably into operational systems.

AI coding assistants (e.g. Claude Code, GitHub Copilot, or similar) are a core part of how our engineering teams work day to day, so comfort and fluency using them as part of your development workflow is essential for this role.

· Integrate external sensors, including military-grade sensing payloads, by building adapters, drivers, and interfaces that bring their data into our sensing pipeline.

· Contribute to the sensor/data fusion pipeline that combines detections from multiple sensors into unified tracks and higher-level fused objects.

· Own and improve geolocation and tracking algorithms (e.g. Kalman-filter-based tracking), tuning and debugging them against real-world and synthetic datasets, including handling of noise and coordinate/reference-frame issues.

· Advance detections of objects based on raw sensor data (e.g. Radar, RF, EO/IR)

· Develop and maintain ROS2 wrappers and nodes to integrate sensors and fusion components into the wider system.

· Write, test, and maintain production-quality C++ and Rust for sensor integration and fusion components.

· Define and document interfaces (message/data contracts) between sensors, the fusion pipeline, and downstream consumers such as autonomous mission execution and mission planning.

· Validate new sensors and fusion capabilities through structured testing, using both synthetic datasets and real sensor data.

· Collaborate closely with the teams behind autonomous mission execution, mission planning, and hardware/payload integration to align sensing capabilities with operational needs.

· Maintain clear technical documentation of sensor integrations, fusion logic, and architectural decisions in Jira/Confluence.

· Use AI coding assistants (e.g. Claude Code, GitHub Copilot, or similar) as part of your day-to-day engineering workflow to accelerate development, testing, and documentation.

Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.

Experience: 3+ years of professional experience in robotics, sensing, or systems software engineering, with hands-on experience integrating sensors and/or building fusion or tracking systems.

Must-have technical skills:

· Strong proficiency in C++ and Rust for production, performance-sensitive software.

· Solid experience with ROS2, including building nodes and wrappers to integrate sensors and other components.

· Practical understanding of sensor/data fusion concepts and multi-sensor pipelines.

· Experience with tracking and localization problems, including techniques such as Kalman filtering, and debugging issues such as noise, drift, and coordinate/reference-frame errors.

· Experience integrating third-party or external sensors into a software system (adapters, drivers, or protocol translation layers).

· Hands-on fluency working with AI coding assistants (e.g. Claude Code, GitHub Copilot, or similar) as part of a professional development workflow.

· Comfortable working with Linux-based development and deployment environments.

· English proficiency, written and spoken, in a multi-disciplinary engineering environment.

Nice-to-have skills:

· Exposure to defense, aerospace, or other safety-/security-critical environments.

· Experience with message/interface definition and versioning across distributed systems.

· Familiarity with radar, RF, EO/IR, or other sensing modalities — e.g. analyzing signal spectra to characterize or classify RF emissions.

· Experience with Docker and containerized deployment of sensor/fusion components.

· Experience with Python for tooling, testing, or data analysis.

Soft skills:

· Strong analytical and problem-solving skills, comfortable diagnosing subtle issues in noisy, real-world sensor data.

· Clear written and verbal communication, able to document interfaces and technical decisions for a multi-disciplinary audience.

What we have to offer you:

At TEKEVER, we offer a comprehensive package designed to reward, support, and develop our people. This includes a highly competitive salary with a discretionary annual bonus and a company pension contribution match of up to 10%. To support your wellbeing, we provide 25 days annual leave plus Bank Holidays, Private Medical Insurance (with optional family cover), Private Dental care, and an Employee Assistance Programme. We are deeply committed to investing in future talent; our scale allows us to provide clear career development opportunities and dedicated initiatives to boost your skill sets, ensuring you remain future-ready for the evolving workplace. Furthermore, our team enjoys a flexible hybrid working model, typically three days a week at our core UK sites like Bristol, and access to a bespoke rewards platform featuring a variety of high street discounts and salary sacrifice schemes, including Electric Car, Cycle to Work, and Technology options.

Do you want to know more about us?

Visit our LinkedIn page at https://www.linkedin.com/company/tekever/