ADAS_MotionPlanner_ML_Evaluation

Skills Skill

Minimum Qualification

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Job Description ADAS_MotionPlanner_ML_Evaluation

What awaits you

You will be responsible for extending the current evaluation framework towards End-to-End ADAS stacks

• Develop evaluation algorithms for simulation framework
• Automate the cross-platform evaluation pipeline
• Maintain and expand test scenarios in simulation framework
• Make evaluation compatible with End-to-End ADAS stack
• Use and shape cloud services for ML-Evaluation pipeline

What you should bring along?

• A joy for everything software, a passion for working with like-minded colleagues to develop cutting-edge software solutions.
• Strong expertise in Python, C++
• Familiarity with the entire ML pipeline, including:
  • Data handling
  • Model training
  • Deployment
  • Evaluation
• Experience in using cloud services for ML (e.g. docker, AWS)
• Good understanding and experience of ADAS functions and closed-loop simulation
• Good skills Machine Learning and ML-Frameworks (e.g. pytorch)
• Experience with general SW-development tooling (e.g. code versioning (git), requirements)
• Experience with statistics and database frameworks is desirable
• Fluent English for professional use, German is a plus.
• University degree in Computer Science / Electronics or a similar field of study (B.E./ B.Tech/ M.Tech/ Ph.D.).
• A specialization in Machine Learning is desirable.
• You are versatile and have an insatiable appetite for learning and improving things around you.