AI Engineer - Connected & Autonomous Driving and Software-Defined Vehicles

NIKI is looking for graduates of Technical University Departments/Schools of Sciences/Engineers, or similar disciplines to develop and implement innovative AI-driven solutions for Connected and Autonomous Driving, Automotive.OS, and IT systems for software-defined vehicles.

Become a member of NIKI Digital Engineering!

If you have completed your studies or doctorate and are looking for new challenges, interdisciplinary and diverse teams, and projects, send us your resume.

Our strategy is to transfer the know-how into practice. TWT is our trusted long-term partner, sharing and supporting our vision. Through close, daily collaboration, we design and deliver innovative solutions for clients and partners across the energy, health, and automotive industries. Combining interdisciplinary expertise in IT, digital engineering, and consulting, we turn ideas into impactful results that reflect our shared vision for progress.

What to expect

• Diverse projects and topics on the pulse of time, such as Artificial Intelligence, Connected and Autonomous Driving, E-Mobility, Automotive.OS, or Model-Based Systems Engineering.
• Continuously monitor industry trends and advances in simulation technology to improve NIKI's services and drive innovation.
• Coordinate our interdisciplinary projects in close cooperation with our customers.

Task Description

• Develop innovative approaches and tools to secure networked systems and ADAS/AD functions.
• Develop and implement IT solutions for software-defined vehicles.
• Collaboration with cross-functional teams to ensure the timely delivery of high-quality technical solutions.

Basic Qualifications

• Knowledge in developing AI-driven solutions within software engineering, with a strong interest in autonomous driving and software-defined vehicles.
• Good knowledge of at least one of the languages: Python, C++, or Java.
• Familiarization with Large Language Models, also in connection to RAGs and similar methods of connecting LLMs to explicit knowledge.
• Basic knowledge of neural networks: feed-forward neural network, convolutional neural network, classification tasks with neural network.
• Excellent communication skills.
• Self-motivated, with the ability to work independently and as part of a team.
• Strong problem-solving and analytical skills.
• Spirit of innovation, initiative, and enjoyment of learning and tinkering.
• Excellent command of English and technical terminology.

Preferred Qualifications

• Good knowledge of standard libraries such as numpy, pandas, keras, tensorflow, scipy, matplotlib, or scikit-learn.
• Initial experience in Predictive Maintenance, Object Tracking, or Anomaly Detection.
• Knowledge of statistics is beneficial.
• Interest in interdisciplinary collaborations.
• Good command of the German language.

What we offer

• Structured learning on the job, professional feedback, and a mentor open to all your questions.
• Innovative, highly technically demanding industry and research projects, interdisciplinary teams, and highly qualified colleagues.
• Open doors, and the chance to take over responsibility quickly - participate, shape, and leave your fingerprint.
• Discover new talents and shape your career path: Become a specialist, project manager, or manager.
• Simultaneous, collaborative work using modern digital platforms.
• Flexible working hours thanks to our attractive flextime model - only compatible projects.
• Enjoy working with great colleagues in your day-to-day work.

Are you intrigued to find out more about this position? Then apply for a job with us!