Embedded Software Engineer

Embedded Systems & Applications Engineer – Autonomous Systems (Contract)

Position Overview

A technology-driven engineering organization is seeking an experienced Embedded Systems & Applications Engineer to support the development of intelligent robotics and AI-based solutions for automotive and autonomous systems.

This mid-level contract role focuses on designing, implementing, and optimizing embedded software and sensor-based systems that enable advanced driver assistance and autonomous functionalities.

The position involves close collaboration with multidisciplinary teams working on real-world autonomous platforms.

Contract Details

• Engagement Type: Freelance / Contract

• Duration: Approximately 12 months

• Workload: Full-time

• Location: On-site with limited remote flexibility

• Seniority Level: Mid-level (5–10 years experience)

• Compensation: Competitive hourly rate

• Recruitment Process: Technical assessment and multi-stage interviews

• Language: English (German is an advantage)

Key Responsibilities

• Design, develop, and optimize algorithms for robotics and autonomous driving applications, including advanced driver assistance features.

• Implement, test, and debug software in C++ and Python for embedded and real-time environments.

• Develop modular and scalable robotics software stacks using ROS/ROS2.

• Integrate and interface with multiple sensor types, including radar, LiDAR, cameras, and IMUs.

• Ensure accurate sensor calibration, synchronization, and multi-sensor data fusion.

• Develop and maintain real-time communication systems between electronic control units and computing platforms.

• Collaborate with hardware and system engineers to ensure stable and high-performance system integration.

• Perform in-depth debugging, profiling, and root-cause analysis of embedded platforms.

• Support system-level testing, validation, and technical documentation.

• Participate in code reviews, architecture discussions, and continuous improvement initiatives.

Required Qualifications

• Bachelor’s or Master’s degree in Robotics, Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.

• At least three years of professional experience in embedded software, robotics, or automotive systems development.

• Strong proficiency in C++ and Python, including experience with real-time and multithreaded systems.

• Hands-on experience with ROS/ROS2 and robotics middleware frameworks.

• Practical knowledge of networking protocols and diagnostic tools for embedded systems.

• Understanding of sensor technologies, including radar, LiDAR, cameras, and inertial measurement units.

• Experience with sensor calibration, synchronization, and data fusion methods.

• Strong debugging, performance profiling, and optimization skills.

• Ability to work independently while collaborating effectively in cross-functional teams.

• Excellent analytical and problem-solving abilities.

Preferred Skills

• Experience with advanced driver assistance systems (ADAS) and autonomous driving features.

• Background in computer vision and AI-based perception systems.

• Familiarity with automotive-grade software development standards and workflows.

• Experience with distributed embedded systems and real-time networking.

Personal Attributes

• High level of technical ownership and accountability.

• Structured and detail-oriented working style.

• Proactive and solution-focused mindset.

• Strong communication and documentation skills.

• Adaptability in fast-paced, project-driven environments