Mid-Level, Senior
Sensor Fusion & Integration Engineer
Are you ready to revolutionise the world with TEKEVER?
At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting-edge advancements meet unparalleled innovation.
Digital | Defence | Security | Space
We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges — from protecting people and critical infrastructure to exploring space.
We offer a unique surveillance-as-a-service solution that delivers real-time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments — whether at sea, on land, in space, or in cyberspace.
Become part of a dynamic, multidisciplinary, and mission-driven team that is transforming maritime surveillance and redefining global safety standards.
At TEKEVER, our mission is to provide limitless support through mission-oriented game-changers, delivering the right information at the right time to empower critical decision-making.
If you're passionate about technology and eager to shape the future — TEKEVER is the place for you.
Mission
TEKEVER is looking for a Sensor Fusion & Integration Engineer to join our Sensing team. You'll integrate third-party sensors — including military-grade sensing payloads — into our platforms, build and tune the data/sensor fusion and geolocation plugins of our pipelines, meant to turn raw detections into reliable tracks, and ship production C++, Rust and ROS2 code that forms our core sensing autonomy, feeds mission relevant objects and facilitates building a coherent model of the world.
We're looking for someone with C++, Rust and ROS2 experience, a solid grasp of sensor fusion and tracking/localization (e.g. Kalman filtering, particle filters), and hands-on fluency working with AI coding assistants (e.g. Claude Code, GitHub Copilot, or similar) as part of your daily workflow. This role requires the ability to obtain and maintain UK Security Clearance and is based on a hybrid basis, with three days per week at our Bristol office.
About TEKEVER:
At TEKEVER, we are at the forefront of leveraging cutting-edge data and AI technologies to drive innovation and deliver exceptional value to our clients. Our team is passionate about creating intelligent solutions that transform countries, governments, businesses, and improve lives.
TEKEVER's mission is to provide our customers with actionable intelligence to make the best decisions faster - both in real-time and non-real-time - in the most challenging environments across the globe. We design and build state-of-the-art autonomous Unmanned Aerial Systems (UAS), both in terms of hardware and software platforms and are growing fast in multiple areas, within both Defense and Civil domains. Typical Use Cases that our portfolio of drones and AI platforms focus on are, amongst others, military surveillance & intelligence gathering, oil pipeline inspections, maritime surveillance, wildfire monitoring, crowd control, change detection, automated area search, sense & avoid, precision landing, swarming, and many more.
As such, we are significantly expanding our Sensing team, which is responsible for turning raw sensor data — from our own payloads as well as third-party and military-grade sensors — into fused, tracked, and actionable information for autonomous sensing and mission execution. We are seeking a skilled Sensor Fusion & Integration Engineer to join this team and take ownership of sensor integration, data fusion, and geolocation problems across our sensing pipeline.
Job Overview:
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.
What will be your responsibilities:
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Integrate external sensors, including military-grade sensing payloads, by building adapters, drivers, and interfaces that bring their data into our sensing pipeline.
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Contribute to the sensor/data fusion pipeline that combines detections from multiple sensors into unified tracks and higher-level fused objects.
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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.
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Advance detections of objects based on raw sensor data (e.g. Radar, RF, EO/IR)
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Develop and maintain ROS2 wrappers and nodes to integrate sensors and fusion components into the wider system.
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Write, test, and maintain production-quality C++ and Rust for sensor integration and fusion components.
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Define and document interfaces (message/data contracts) between sensors, the fusion pipeline, and downstream consumers such as autonomous mission execution and mission planning.
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Validate new sensors and fusion capabilities through structured testing, using both synthetic datasets and real sensor data.
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Collaborate closely with the teams behind autonomous mission execution, mission planning, and hardware/payload integration to align sensing capabilities with operational needs.
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Maintain clear technical documentation of sensor integrations, fusion logic, and architectural decisions in Jira/Confluence.
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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.
Profile and requirements:
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:
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Strong proficiency in C++ and Rust for production, performance-sensitive software.
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Solid experience with ROS2, including building nodes and wrappers to integrate sensors and other components.
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Practical understanding of sensor/data fusion concepts and multi-sensor pipelines.
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Experience with tracking and localization problems, including techniques such as Kalman filtering, and debugging issues such as noise, drift, and coordinate/reference-frame errors.
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Experience integrating third-party or external sensors into a software system (adapters, drivers, or protocol translation layers).
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Hands-on fluency working with AI coding assistants (e.g. Claude Code, GitHub Copilot, or similar) as part of a professional development workflow.
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Comfortable working with Linux-based development and deployment environments.
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English proficiency, written and spoken, in a multi-disciplinary engineering environment.
Nice-to-have skills:
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Exposure to defense, aerospace, or other safety-/security-critical environments.
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Experience with message/interface definition and versioning across distributed systems.
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Familiarity with radar, RF, EO/IR, or other sensing modalities — e.g. analyzing signal spectra to characterize or classify RF emissions.
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Experience with Docker and containerized deployment of sensor/fusion components.
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Experience with Python for tooling, testing, or data analysis.
Soft skills:
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Strong analytical and problem-solving skills, comfortable diagnosing subtle issues in noisy, real-world sensor data.
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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/
Do you want to know more about us ?
Visit our LinkedIn page at https://www.linkedin.com/company/tekever/
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