Autonomy Software Engineer

Avular; Eindhoven; Hybrid; EUR 85,000 - 110,000; Full time

Benefits offered by this job

Salary based on experience

Non-contributory pension

Travel cost reimbursement

Participation plan

Team events

30 days vacation

Caffeinated workplace

Brand-new office in Strijp-T Eindhoven

Job summary

Avular is seeking a Senior Software Engineer to join the team in Eindhoven. You will develop and productise onboard software for modular robotics platforms, bridging hardware and higher-level software engineers through ROS.

You will contribute to the architecture and work closely with control and algorithm teams to enable advanced autonomy. Ideal candidates have a Master’s degree in a technical field and 4+ years in robotics software, with strong C++ (C++17+) and Python skills, ROS2 experience,

Qualifications

• Master’s degree in a relevant technical field.
• 4+ years of professional software engineering experience in robotics or autonomous systems.
• Strong C++ (C++17+) and Python experience.
• Professional ROS2 experience.
• Experience with Linux and ARM-based systems.
• Familiarity with Docker and containerised development.

Responsibilities

• Design and build onboard applications in C++, with Python where it fits.
• Co-develop the software architecture — interfaces, structure, and how components fit together.
• Define and write requirements for new functionality.
• Work close to the hardware, including firmware where the role calls for it.
• Build the automated tests and documentation that make a feature genuinely done.
• Collaborate directly with hardware, control and algorithm engineers.

Skills

C++

Python

ROS2

Linux

CMake

Docker

Version control

Education

Master's degree in Computer Science, Robotics, Autonomous Systems, Control Engineering, or related field

Tools

Docker

Git

CMake

Job description

We’re looking for a Senior Software Engineer to join the Avular Team!

At Avular, we are looking for an ambitious and enthusiastic senior software engineer to strengthen our current team. Here you will work on developing and productizing software components for our modular robotics platforms. In this role, you will make sure that our control and algorithmic engineers can use our products with ROS to create more advanced features. So, you will become the bridge between our hardware and higher-level software engineers or control engineers.

Avular designs and builds modular robotics platforms from the ground up. You will build and productise the onboard software for our driving robots, as well as co-develop the architecture it sits in. Your work is what allows our control and algorithm engineers to build higher-level autonomy on top, via ROS.

• Design and build onboard applications in C++, with Python where it fits
• Co-develop the software architecture — interfaces, structure, and how components fit together
• Define and write requirements for new functionality
• Work close to the hardware, including firmware where the role calls for it
• Build the automated tests and documentation that make a feature genuinely done
• Collaborate directly with hardware, control and algorithm engineers

Master’s degree in Computer Science, Robotics, Autonomous Systems, Control Engineering, or a related technical field.

Typically 4+ years of professional software engineering experience, with relevant experience in, for example: robotics, autonomous systems, motion planning, or navigation.

Strong software engineering skills in C++ (C++17 or newer) and practical experience with Python.

Professional experience developing robotic software using ROS2.

Experience with graph-based representations and algorithms, such as navigation graphs, vector graphs, graph search, route planning, or related techniques.

Solid understanding of robot autonomy, including areas such as localisation, navigation, path planning, trajectory generation, obstacle avoidance, and autonomous behaviour.

Experience developing algorithms that operate on real robotic systems, preferably mobile robots, autonomous vehicles, or drones.

Comfortable developing and debugging software on Linux, including software deployed on ARM-based systems.

Experience with CMake, dependency management, and building larger C++ software projects.

Familiarity with Docker and containerised development/deployment.

Able to analyse system behaviour using logs, recorded sensor data, ROS bags, and other diagnostic information.

Nice-to-haves:

• Experience with autonomy for both ground vehicles and aerial robots.
• Experience with geometric algorithms, computational geometry, mapping, or spatial data structures.
• Experience with optimisation, trajectory planning, or motion planning libraries.
• Experience integrating perception, localisation, planning, and control components into a complete robotic system.
• Experience testing and validating autonomy algorithms on physical robots.

At Avular, work meets play in the best possible way. We’re shaping the future of robotics, and we want you along for the ride.

Here’s what’s waiting for you:

• Grow & Shine: Bring your vision and grow your career in a fast-paced, high-tech environment.
• We’ve Got You Covered: Salary based on experience level, a non-contributory pension scheme, and travel cost reimbursement.
• Share in Success: Benefit directly from company growth through our participation plan.
• Play Hard: Game nights, Friday drinks, epic team events, and celebrations.
• Recharge Your Way: 30 paid vacation days (plus national holidays) to unwind and explore.
• Fuel for Greatness: The best coffee, fresh fruit, and snacks to power your day.
• Innovation Central: Work at our brand-new office in Strijp-T, Eindhoven, a buzzing hub of cutting-edge ideas.

At Avular, we’re on a mission to revolutionise robotics:

“With gorgeous tech, we accelerate the creation of mobile robotic applications that shape a brighter future for all.”

From our home base in Eindhoven, we design the tech behind autonomous robots, crafting drones and driving robots from scratch.

Are you our new colleague?

NB! Adding a motivation letter to your application would also be a big plus.

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I consent to the processing of my personal data for the purpose of evaluating my application.

I agree that my application may be kept on file for future job opportunities (maximum retention: [e.g. 12 months]).

Acquisition based on this vacancy is not appreciated.