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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
The ideal candidate must demonstrate strong leadership in guiding interdisciplinary teams while effectively designing and implementing AI-based solutions. A deep understanding of generative AI and its application in driver assistance systems is essential for success in this role.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Artificial IntelligenceGenerative AILarge Language ModelsNeural Network TrainingDiffusion ModelsGenerative Adversarial NetworksSynthetic Data GenerationSoftware DevelopmentADASAutonomous Driving
Soft Skills
LeadershipCollaborationCommunicationPresentation SkillsStrategic Thinking
Tools & Technologies
Software-in-the-LoopHardware-in-the-LoopSensor DataCameraLiDARRadar
Certifications & Qualifications
Bachelor’s DegreeMaster’s Degree
Industry Keywords
Driver Assistance SystemsAutonomous Driving FunctionsInterdisciplinary TeamTechnical ConceptsEvaluation and Implementation
About the role
Key responsibilities & impact- Responsibility for the design, development, and scaling of AI-based solutions in the ADAS field
- Disciplinary leadership of an interdisciplinary team (Data Scientists, ML Engineers, Software Engineers)
- The team’s primary task is to generate synthetic data using artificial intelligence (Generative AI) for existing and future software-in-the-loop and hardware-in-the-loop test benches (SiL/HiL)
- Selection, evaluation, and implementation of modern generative AI models (LLM-based generators, diffusion models, GANs, etc.)
- Presenting results, technical concepts, and strategic approaches to executives and clients
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent experience
- Experience with driver assistance systems or autonomous driving functions; at least 3 years of professional experience in the relevant field
- Knowledge of artificial intelligence (large language models, neural network training, world foundation models, etc.) and sensor data (camera, LiDAR, radar, etc.)
Benefits
Comp & perks- Innovative Environment : ZF is at the forefront of technological advancements, offering a dynamic and innovative work environment that encourages creativity and growth.
- Diverse and Inclusive Culture : ZF fosters a diverse and inclusive workplace where all employees are valued and respected, promoting a culture of collaboration and mutual support.
- Career Development : ZF is committed to the professional growth of its employees, offering extensive training programs, career development opportunities, and a clear path for advancement.
- Global Presence : As a part of a global leader in driveline and chassis technology, ZF provides opportunities to work on international projects and collaborate with teams worldwide.
- Sustainability Focus : ZF is dedicated to sustainability and environmental responsibility, actively working towards creating eco-friendly solutions and reducing its carbon footprint.
