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Company:
Arriver Software Gmb H
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
We are looking for innovative, and motivated individuals with strong background in advanced deep learning architectures for production grade L3 automated driving perception software. They shall develop scalable algorithms on for Camera-Li DAR perception systems scalably applied to large scale data regimes (Petabytes).This includes fundamental understanding of transformers and self-attention, cross attention in multi-modal sensor setup, volumetric occupancy, and volumetric flow. A global understanding of multi-senor calibration (camera-camera, camera-lidar) and related fusion frameworks is a necessity.
A solid background in classical calibration is a big plus. They shall develop state of the art lidar and lidar-camera fusion deep learning models for complex urban and highway scenarios. Work closely with seasoned senior perception engineers in leading automated driving systems in OEMS & Robotaxi companies.
Minimum Qualifications:
- Ph D degree or equivalent in Engineering, Information Systems, Computer Science, or related field.
- Ph D topic related with Camera/Li DAR based perception
- Masters with a 3+ years of industrial experience in the area of camera/lidar based perception with deep learning.
Preferred Qualifications:
- Ph.D. OR Masters + 2 -3 years industry experience
- Experience in deep learning for lidar perception, camera-lidar sensor fusion for DNN architectures and/or occupancy grid filtering
- Fundamental understanding of classical computer vision, multiview geometry
- Proficient in advanced deep learning architectures transformers, cross-attention, Voxel/BEV grid-based feature representations for point cloud data
- 3+ years of experience with Programming Language such as C, C++, Python, etc.
- Experience working with, modifying, and creating advanced algorithms
- Analytical and scientific mindset, with the ability to solve complex problems.
- Experience with robust software design for safety-critical systems
- Excellent written and verbal communication skills, ability to work with a cross-functional team
- Classical Camera-Li DAR-RADAR offline/online calibration
- Classical or Deep learning based LIDAR-RADAR fusion
- HD-maps fusion for perception integration
What we offer:
- Salary, stock and performance related bonus.
- Employer-financed pension schemes.
- Free onsite fitness room and sport courses as well as Health Benefit.
- Subsidy for glasses, Kita Benefit and Mobility Benefit.
- Company bike
- Mentoring program for intensive onboarding training and further education opportunities
- Employee stock purchase program (15% discount on Qualcomm stock purchase)
- Employee recognition program “Thank Q” & employee participation through company idea management
This is a full-time position based in our office in Unterschleißheim, Germany.
If this is you, then consider being part of our team and apply today!
#onsite
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
ORPh D in Engineering, Information Systems, Computer Science, or related field.
- 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
- References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
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