Deep Learning Engineer for Camera-LiDAR based Multimodal Perception – Full-time

Company:
Arriver Software GmbH

Job Area:
Engineering Group, Engineering Group > Software 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-LiDAR 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:

• PhD degree or equivalent in Engineering, Information Systems, Computer Science, or related field.

• PhD topic related with Camera/LiDAR 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

Optional Qualifications/Experience

• Classical Camera-LiDAR-RADAR offline/online calibration
• Classical or Deep learning based LIDAR-RADAR fusion
• HD-maps fusion for perception integration

Minimum Qualifications:
• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
Master’s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD 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.

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.