This internship will dive deep into data-driven techniques developing scalable vehicle simulation frameworks tailored for various platforms. Youll gain invaluable cross-functional knowledge in vehicle technologies and drive innovation in simulation and model development. Beyond technical expertise were looking for individuals who can clearly communicate complex concepts and thrive in a collaborative global environment.
What Youll Do:
- Analyze simulation and test data to uncover key trends and performance indicators for vehicle model behavior
- Develop and verify data-driven models ensuring their accuracy and performance
- Utilize developed models to investigate and predict the impact on powertrain performance and different technologies
- Generate actionable insights through expert post-processing and visualization of results
- Share knowledge effectively articulating your work and ideas to customers managers and key decision-makers
- Proactively provide timely feedback to the team fostering a culture of continuous improvement
Qualifications :
Minimum Qualifications:
- Currently pursuing a Bachelors or Masters degree in Computer Science Electrical Engineering or related technical field
- Extensive experience applying deep learning techniques to data analysis
- Experience working in large codebases
- Familiarity with state-of-the-art deep learning models and applications
- Clearly demonstrable work experience project work or coursework related to machine learning
- Minimum 3.0 GPA
- Minimum 18 years of age
Preferred Qualifications:
- Understanding of vehicle dynamics modeling
- Proficiency working with large datasets including visualization
- Senior class standing or graduate preferred
Additional Information :
Equal Opportunity Employer including disability / veterans
*Bosch adheres to Federal State and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
Remote Work :
No
Employment Type :
Full-time
This internship will dive deep into data-driven techniques developing scalable vehicle simulation frameworks tailored for various platforms. Youll gain invaluable cross-functional knowledge in vehicle technologies and drive innovation in simulation and model development. Beyond technical expertise w...
This internship will dive deep into data-driven techniques developing scalable vehicle simulation frameworks tailored for various platforms. Youll gain invaluable cross-functional knowledge in vehicle technologies and drive innovation in simulation and model development. Beyond technical expertise were looking for individuals who can clearly communicate complex concepts and thrive in a collaborative global environment.
What Youll Do:
- Analyze simulation and test data to uncover key trends and performance indicators for vehicle model behavior
- Develop and verify data-driven models ensuring their accuracy and performance
- Utilize developed models to investigate and predict the impact on powertrain performance and different technologies
- Generate actionable insights through expert post-processing and visualization of results
- Share knowledge effectively articulating your work and ideas to customers managers and key decision-makers
- Proactively provide timely feedback to the team fostering a culture of continuous improvement
Qualifications :
Minimum Qualifications:
- Currently pursuing a Bachelors or Masters degree in Computer Science Electrical Engineering or related technical field
- Extensive experience applying deep learning techniques to data analysis
- Experience working in large codebases
- Familiarity with state-of-the-art deep learning models and applications
- Clearly demonstrable work experience project work or coursework related to machine learning
- Minimum 3.0 GPA
- Minimum 18 years of age
Preferred Qualifications:
- Understanding of vehicle dynamics modeling
- Proficiency working with large datasets including visualization
- Senior class standing or graduate preferred
Additional Information :
Equal Opportunity Employer including disability / veterans
*Bosch adheres to Federal State and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
Remote Work :
No
Employment Type :
Full-time
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