B.Tech/B.E
Job Description
Role
What awaits you/ Job Profile
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 should you bring along
Education
- University degreeinComputer Science,Electrical Engineering, or a related field
- Ideally specialization inMachine Learning
Experience
- Project lead in ML context, ideally familiar with the entire ML pipeline, including: Data handling, Model training, Deployment, Evaluation
- Project experience: Repeated training/deployment/evaluation of ML models
- Ideally experienced in software development within the Automotive Industry
- Ideally 1+ years’ experience with ADAS simulation frameworks
Soft Skills and Mindset
- Excellent communication skills, enabling independent coordination with interface partners
- Ability to manage and maintain data and documentationin compliance with BMW standards
- Team-orientedwith a collaborative approach
- Innovation-drivenand open to new ideas and technologies
- Proactiveand solution-focused
Technical skill s
- Very good skills in python, C++
- Understanding of ADAS functions and closed-loop simulation
- Experience in using cloud services for ML (e.g. docker, AWS)
- Scaling of ML in production
- Experience with statistics and database frameworks
- Good skills Machine Learning and ML-Frameworks (e.g. pytorch)
- Experience with general SW-development tooling (e.g. code versioning (git), requirements)
- Statistical Methods
Skills : Python; Data Structures; Algorithms; AWS (Expert); CI/CD; Infrastructure as Code; Argo Workflows; Production Deployments