Software Developer (m/f/d)

Full-time

Saalburg-Ebersdorf | Jena

Software Engineering

Profile

You are a software developer with a strong background in implementing and integrating machine learning solutions for autonomous systems that operate on land, in the air, or underwater. You have hands-on experience with object detection, semantic segmentation, reinforcement learning, and behavioral cloning, as well as developing algorithms for modules like sensor fusion, SLAM, perception, and motion planning. Proficient in C/C++, Python, and deploying under Linux on embedded systems, you’re comfortable working with tools like Git, ROS, and CI/CD pipelines. You bring a practical mindset and passion for translating cutting-edge ML research into real-world autonomous applications.

Your Role

• Implement and integrate amazing machine learning solutions for our autonomous systems, including tasks like object detection, semantic segmentation, behavioral cloning or reinforcement learning
• Develop and implement algorithms for different modules like sensor fusion, perception, SLAM, environmental analysis, motion prediction or mission and motion planning
• Deploy software under Linux in embedded systems
• Directly apply machine learning models into real world products that will fly, drive or swim autonomously

At a minimum we’d like you to have

• Bachelor/Master degree in Computer Science or related technical field or equivalent practical experience
• Experience with one or more programming languages including but not limited to: C/C++, Python
• Experience with Linux
• Worked with embedded systems
• Experience with SW versioning: GIT, subversion or related
• Experience with SW Continuous Integration

It’s preferred if you have

• Experience with one or more of the following areas: computer vision, applied robotics, classification, pattern recognition, reinforcement learning
• Worked with ROS or similar
• Experience with real-time systems
• Experience in an agile project environment (SCRUM)
• Machine learning domain knowledge

About

Are you ready to redefine the future of transportation across all domains? At Spleenlab, we're building the safety backbone for autonomous movement, ensuring people and things can navigate the world with confidence. Our expertise spans self-driving cars, trucks, maritime vessels, UAVs, air taxis, helicopters, and traditional aircraft.

We specialize in creating cutting-edge AI perception software powered by machine learning, specifically designed for safety-critical autonomous systems. This isn't just about code; it's about enabling a safer, more efficient tomorrow across land, air, and sea.

As part of our dynamic and interdisciplinary team, you'll work alongside recognized AI leaders, contribute to groundbreaking projects, and directly influence the next generation of autonomous mobility. If you're an ambitious AI professional eager to make a real difference, we want to hear from you.

Benefits

• Corporate Benefits: Team members enjoy exclusive brand deals and appealing non-cash benefits.
• Work-Life-Balance: Flexible working hours and mobile working options.
• Vacation Days: 30 days of vacation per year.
• Ergonomic Workstations: Equipped with height-adjustable desks and ergonomic office chairs.
• Company Events: Regular team events, meet & greets, and an annual Christmas party as integral parts of our company culture.
• Training Opportunities: Includes participation in conferences, trade fairs, and leading international top conferences.
• Free Drinks: Enjoy complimentary coffee, tea, and water to keep you refreshed throughout the day.
• Travel Expenses: Allowances for additional meal expenses during business trips.

Your Next Opportunity Starts Here

At Spleenlab, we don’t just accept difference – we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity. We consider all qualified applicants, in accordance with the legal requirements. If you have a disability or special need that requires accommodation, please let us know.

Please send your CV and accompanying material directly to [email protected]