Job description

Deployed Autonomy Engineer

Location:

Amsterdam - Netherlands

Type:

Full-time

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In today’s world of constant global security challenges, innovation in defence is no luxury. After years of budget cuts, military personnel needs to train and work with inadequate and insufficient equipment. We have an opportunity to change that.

At Intelic, we are a group of highly committed professionals building one of the fastest-growing start-ups based in Amsterdam. We create advanced software for unmanned systems in the defence sector. As a software company at our core, we build intelligence that give unmanned platforms the speed, coordination and reliability that critical missions demand. Our technology ensures that decisions are made with accuracy when it matters most.

Your Responsibilities

As a Deployed Autonomy Engineer, you will design, build and test autonomous systems for real-world use. You work with software, hardware and perception to take unmanned vehicles from the lab into the field through algorithms, hardware integration and thorough testing. You will collaborate with colleagues in AI, Robotics, Control and Software and spend much of your time in the field building, testing and improving systems.

In practice, this means:

  • Develop and maintain our autonomous task execution and perception pipelines for real-time navigation, mapping, and sensing.

  • Integrate solutions on diverse UAVs, UGVs, and other unmanned systems using robotics protocols such as MAVLink and ROS.

  • Implement robust control, mission planning, and/or vision algorithms using C++, Python, and relevant frameworks (e.g., OpenCV, PyTorch, TensorFlow).

  • Deploy and optimize solutions on embedded hardware such as NVIDIA Jetson and Raspberry Pi.

  • Conduct extensive field testing: plan, execute, and analyze results to validate system performance under real-world conditions.

  • Collaborate on CI/CD pipelines and automated testing for embedded and robotics software.

  • Engage in code reviews, pair programming, and technical knowledge sharing to support team growth.

What we offer

  • A challenging position in a dynamic and growing organization

  • 25 vacation days + 8% holiday allowance

  • A flexible pension plan

  • Opportunity to grow with the company through Stock Appreciation Rights

  • Travel allowance

  • A membership at Urban Sports

  • Option to lease a bike through ‘Lease a bike’

  • Opportunities for personal development and training

  • A modern office in Amsterdam-North on the NDSM wharf


Who we are looking for

Minimal requirements

We are looking for someone who combines strong technical skills with a hands-on approach. You are comfortable moving between algorithm design, software development, and field testing, and you take ownership of making complex systems work reliably in practice. You do not need to be an expert in everything, but you bring a solid technical foundation and the drive to learn quickly and grow with the role.

This includes:

  • A master’s degree in robotics, computer science, electrical engineering, AI, or a related field, or equivalent industry experience

  • At least one year of professional experience in robotics, computer vision, or embedded systems integration

  • Proficiency in Python and understanding of software engineering principles such as DRY, KISS, SOLID, and design patterns

  • Confidence working across the stack, from algorithm design to debugging on embedded Linux systems

  • Demonstrated interest in robotics or autonomy through hobby projects or contributions to open-source communities

  • Willingness to work hands-on in field testing environments and iterate quickly based on results


What success looks like in your first year

  • You’ve taken ownership of a key autonomy module (navigation, perception, or control) and made it deployable and reliable in the field.


  • You’ve successfully integrated and tested autonomy software on multiple unmanned platforms.

  • You’ve contributed to field trials where your algorithms directly impacted mission performance.

  • You’ve improved developer workflows by extending CI/CD pipelines and automated testing.

  • You’ve grown into a trusted engineering voice within the team, actively mentoring peers and sharing expertise.

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