- Work closely with crossfunctional teams including software engineers research scientists and hardware engineers to integrate models into ADAS systems
- Communicate with various stakeholders to identify requirements for machine learning solutions
- Write and test code to build machine learning pipelines and integrate models into production systems
- Develop and deploy AI models for ADAS with advanced 3D perception and mapping
- Design and conduct experiments to train and validate models using largescale datasets
- Optimize models for realtime performance on embedded automotive platforms
- Research and stay uptodate with cuttingedge ADAS techniques and industry advancements
Qualifications :
Basic Qualifications:
- Masters degree in software engineering computer science or related field
- 1 years of professional software development experience with handson experience using AI frameworks and libraries
- Industry experience working on highimpact customerfacing products or applications
- Experience implementing deep learning and computer vision algorithms into production systems
- Excellent problemsolving skills and attention to detail
- Effective communication and collaboration skills
Preferred Qualifications:
- PhD in software engineering computer science or related field
- 3 years of professional software development experience working on a machine learning product in the automotive domain
- Experience with embedded systems and realtime processing
- Academic background in 3D geometry and statistics
Additional Information :
Equal Opportunity Employer including disability / veterans
The U.S. base salary range for this fulltime position is $150000 $168000. Within the range individual pay is determined based on several factors including but not limited to work experience and job knowledge complexity of the role job location etc. Your Recruiter can share more details about the specific salary range for this position during the interview process.
*Bosch adheres to Federal State and Local laws regarding drugtesting. 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 :
Fulltime