At a Glance
- Tasks: Integrate cutting-edge sensors and develop advanced data fusion algorithms for autonomous systems.
- Company: Join TEKEVER, a leader in innovative AI and data technologies.
- Benefits: Enjoy competitive salary, flexible working, and comprehensive health benefits.
- Other info: Dynamic team environment with strong career development opportunities.
- Why this job: Make a real impact in defence and civil sectors with your engineering skills.
- Qualifications: Experience in C++, Rust, and sensor fusion required.
The predicted salary is between 63000 - 77000 £ per year.
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.
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:
- 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.
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:
- 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.
Sensor Fusion & Integration Engineer employer: TEKEVER
TEKEVER Defence is an exceptional employer that prioritises a mission-driven culture, offering UAS Pilots the chance to engage in meaningful work while ensuring safety and compliance. With a strong emphasis on employee growth through training and performance improvement, team members enjoy a collaborative environment and the unique opportunity to travel across the UK and Europe, enhancing their professional experience. Located in South West England, the company fosters a supportive atmosphere that values innovation and dedication, making it an ideal place for those seeking rewarding careers in aviation.
StudySmarter Expert Advice🤫
We think this is how you could land Sensor Fusion & Integration Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at TEKEVER or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to TEKEVER.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like TEKEVER.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like TEKEVER that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Sensor Fusion & Integration Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at TEKEVER.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at TEKEVER and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at TEKEVER
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If TEKEVER uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.