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About the Role

You will be part of a 35-person team of sensor, IoT, and hardware engineers, developing a multi-sensor perception and fusion system for a drone early warning system with a learning map architecture. You will be responsible for the architecture across the entire device tech stack and influence hardware, platform, and AI teams. You will work on software integration on various hardware devices, coding with C/C++ and Zephyr, enabling fast and secure deployments, monitoring systems, resolving issues, and continuously improving observability. You may also support on-site operations, collect sensor data, and validate technology in field trials.

Responsibilities

Develop a multi-sensor perception and fusion system for a drone early warning system with a learning map architecture.
Be responsible for the architecture across the entire tech stack of the devices and convince the hardware, platform, and AI teams of your decisions.
Work on software integration on various hardware devices.
Code with C/C++ and work with Zephyr.
Enable fast and secure deployments together with Sensor Fusion Engineers, MLOps, and DevOps Engineers.
Monitor systems, resolve issues, and continuously improve observability.
Support on-site operations, collect sensor data, and validate the technology in controlled field trials, if desired.

Requirements

EU citizenship is a prerequisite due to security regulations for this role.
Officially registered in an EU country.
Minimum 7 years of professional experience in IT (e.g., Software Engineering), ideally 15-20 years.
Minimum 5 years of full-time professional experience as an Embedded Engineer, ideally 10-15.
Expert knowledge in Embedded Linux.
Minimum 3 years of full-time professional experience working with a real-time operating system that was in production.
Minimum 2 years of professional experience in the IoT sector.
Fluent C/C++ skills. Fluency in another language such as Go, Typescript, Python, and/or Rust is a plus.
Worked at least 2 consecutive years for the same employer.
Fluent English; any additional spoken language is a plus.
Willingness to work in the defense sector.
Thrive in a dynamic startup or scaleup environment.
Motivated to work exclusively operationally and hands-on (not in management) for the next 3-5 years.
Ideally experience with fleet data, Bash, Golang, MLOps, EdgeML, DevOps.
Ideally first cloud experience (GCP, AWS, Azure).
Ideally willing to travel to Berlin for field trials 2 to 3 days per month.

Skills

Embedded Linux
Yocto Project
ROS2
Sensor Fusion
PCB Design
Robotics
Hardware Software Co-Design
OTA Updates
TCPIP
SDR
Computer Vision
CAD
Embedded Systems
Microcontrollers
RTOS
Firmware Development
SPI
I2C
CAN bus
Edge AI
Git
Linux Kernel
HIL
SIL
GNU Toolchain
Zephyr
FreeRTOS
C/C++
Go
Typescript
Python
Rust
Fleet Data
Bash
Golang
MLOps
EdgeML
DevOps
GCP
AWS
Azure

Location

Berlin
Home office in Germany
Home office in EU

Work Type

Full-time
Hybrid
Remote

Experience Level

7+ years IT experience
15-20 years IT experience
5+ years Embedded Engineer experience
10-15 years Embedded Engineer experience
3+ years RTOS experience
2+ years IoT experience

Benefits

Work with state-of-the-art technologies.
Be part of a team of tech-enthusiastic engineers.
Accompany the next tech unicorn in the defense sector in developing one of the first multinational drone early warning systems.
Work in a multinational, pragmatic, smart, hands-on team with a strong innovation focus.
Work when it suits you best, apart from some meetings.
30 days of vacation.
Health insurance package.

About the Company

We are a company developing one of the first multinational drone early warning systems in the defense sector.
We are a multinational, pragmatic, smart, hands-on team with a strong innovation focus.
We are a startup/scaleup environment.

Equal Opportunity

We celebrate diversity.
We expressly welcome all applications – regardless of gender, gender identity or expression, sexual orientation, age, ethnic or social origin, religion or belief, physical abilities, marital status, appearance, or any other characteristic that may not be a selection criterion under applicable law.
We firmly believe that diverse perspectives, experiences, and life paths enrich teams and lead to better decisions.