ADASMotionPlannerMLEvaluation
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./ Ph.D.).
- A specialization in Machine Learning is desirable.
- You are versatile and have an insatiable appetite for learning and improving things around you.
Required Experience:
Manager
ADASMotionPlannerMLEvaluationWhat awaits youYou will be responsible for extending the current evaluation framework towards End-to-End ADAS stacksDevelop evaluation algorithms for simulation frameworkAutomate the cross-platform evaluation pipelineMaintain and expand test scenarios in simulation frame...
ADASMotionPlannerMLEvaluation
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./ Ph.D.).
- A specialization in Machine Learning is desirable.
- You are versatile and have an insatiable appetite for learning and improving things around you.
Required Experience:
Manager
View more
View less