Lead Software Engineer (m/f/d) Perception & Autonomous Systems
Berlin, Germany · On-site
Senior$20M raised
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Senior Backend Engineer - Kotlin (m/f/d) - English speaking
Berlin, Germany · Remote OK
Senior$59M raised
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Berlin, Germany · Hybrid
Senior
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Berlin, Germany · Hybrid
Senior$331M raised
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Aceve
Customer Support and Success Manager (m/w/d)
Berlin, Germany · Hybrid
Mid level
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Company Description Everyone’s story matters. Come shape your story with us at Riverty. But where does that take you? To one of our 30 hybrid workspaces – designed for exchanging ideas, learning from others, and shaping …
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Full-time
bachelor degree, postgraduate degree
Flexible working hours, Corporate benefits discounts, Public transport ticket subsidy, Further education and training costs coverage
Posted 48d ago
~40 hrs/week
Responsibilities
Design and optimize high-performance C++ software and ROS2 pipelines for real-time autonomous systems. Develop a robust computer vision stack and integrate machine learning models into efficient inference pipelines.
Requirements
Requires a degree in Computer Science or Robotics with at least 5 years of experience in modern C++ and Machine Learning Engineering. Proficiency in ROS2, CUDA, and scalable data processing pipelines is essential.
Full job description
The future of mobility isn’t just coming; we’re building it. At the heart of our mission is the drive to bring Level 4 autonomous technology to Germany. Our in-house AI is paving the way for Europe’s first certifiable system, backed by a team of experts who have been innovating hand-in-hand since 2017. We don't just follow trends - we lead the transformation.
Tasks
Take technical leadership of our Perception & Autonomous Systems team: set direction on architecture and design decisions, define engineering standards, and guide the team's roadmap for our real-time C++ software stack, including ROS2 nodes and processing pipelines. You remain hands-on (roughly 50% of your time), directly contributing to implementation, code reviews, and critical design work rather than stepping back into a purely managerial role
Drive the technical vision for our computer vision stack, combining classical computer vision techniques with hybrid CPU/CUDA solutions for computationally intensive perception and image processing pipelines. You'll make key architectural calls, unblock your team on hard technical problems, and personally implement core components where your expertise adds the most value
Guide the integration of machine learning models across the team - overseeing efficient inference pipelines, runtime optimizations such as quantization, and model deployment and training workflows. You will also shape the overall software architecture of the autonomous vehicle stack, including SOTIF considerations, mentor engineers on best practices, coordinate with adjacent teams, and participate in field testing and experimental validation activities
Requirements
Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, Computer Vision or a related technical discipline
At least 8 years of professional experience in modern C++ software development for high-performance or real-time systems, including experience taking technical ownership of complex systems or leading engineers through design and implementation decisions
At least 8 years of experience in Machine Learning Engineering, Computer Vision, or deploying machine learning models in production environments
Several years of experience in Data Engineering or the design of scalable data processing pipelines
Proven track record of providing technical leadership - setting architecture direction, mentoring engineers, and driving cross-functional alignment - while staying hands-on and directly contributing to code and design
Strong expertise in modern C++, software architecture, ROS2, and performance optimization, combined with solid knowledge of classical computer vision and image processing
Experience with CUDA, GPU programming, MLOps, and inference optimization frameworks such as TensorRT or ONNX Runtime is considered an advantage
Strong analytical thinking, a structured approach to problem solving, and the ability to guide an interdisciplinary engineering team while remaining a hands-on contributor
Fluent in English; knowledge of German is an advantage
Benefits
Genuine team spirit: working in teams that drive change forward – no matter how complex and extensive the projects are
Flexible working hours – with room for the realities of life (parenthood, caregiving responsibilities, voluntary work, etc.)
Whether it's fashion, beauty, travel or culture – you'll receive numerous discounts through our partner Corporate Benefits
Social relevance: We work on solutions that have game-changing qualities
Subsidy for public transport tickets
Your professional development is important to us – that's why we cover the costs of further education and training
Excellent transport links: attractive location in Wedding with very good public transport connections
Focus on people: Our strength lies in our diversity. We respect each other for who we are
At our new premises, we place great importance on getting to know one another and working together to drive our vision forward. Our international team is growing and working together on this exciting mission. Face-to-face collaboration is the key to success, which is why we have decided not to become a fully remote company.
We ask recruitment consultancies and agencies not to submit candidate profiles without our prior express request. Any candidate profiles submitted without a prior written placement agreement signed by both parties shall be deemed to have been submitted unsolicited. No entitlement to placement fees or other charges shall arise from their use or from the subsequent recruitment of the candidate.
MOTOR Ai entwickelt Software für autonomes Fahren nach Level 4, basierend auf einem eigenständigen kognitiven KI-Ansatz mithilfe von Active Inference.
Die Technologie ermöglicht es autonomen Fahrzeugen, in komplexen Verkehrssituationen situativ und begründet zu handeln, statt ausschließlich auf vortrainierte Daten zurückzugreifen.
Mit diesem Ansatz treibt MOTOR Ai europäisches, zertifizierbares und nachvollziehbares autonomes Fahren voran – auf Grundlage von Sicherheit, Transparenz und technologischer Souveränität.
ENG
MOTOR Ai develops software for Level 4 autonomous driving based on an independent cognitive AI approach using Active Inference. This technology enables autonomous vehicles to act situationally and with reasoning in complex traffic scenarios, rather than relying solely on pre-trained data.
With this approach, MOTOR Ai is advancing European, certifiable, and explainable autonomous driving, built on the principles of safety, transparency, and technological sovereignty.