Qualcomm Classical Algorithm Engineer Camera-LiDAR based 

India, Karnataka, Bengaluru 

978719404

Job Area:

Engineering Group, Engineering Group > Systems Engineering

Enabling safe, comfortable, and affordable autonomous driving includes solving some of the most demanding and challenging technological problems. From centimeter-level localization to multimodal sensor perception, sensor fusion, behavior prediction, maneuver planning, and trajectory planning and control, each one of these functions introduces its own unique challenges to solve, verify, test, and deploy on the road.

What you'll do?

Deep learning is becoming ever more important for the drive stack. This requires systematically engineering the labeled data to unlock the full power of an AI system. These require strong expertise in classical algorithm development, ranging from geometric computer vision, 3-D point cloud processing, to classical filter-based senor fusion(EKF, UKF etc.), estimation theory and non-linear optimization like bundle adjustment, pose graph optimization etc. For instance, data preparation requires cross-sensor calibration and accurate ego-pose estimation and mapping in challenging GPS environments. To reach high yields in auto-labeling, conventional estimation and filter theory comes in handy. Teams working on this are in India, Sweden, Romania, Germany, and the US.

You will work in an Agile environment and actively participate in Scrum practices like standups, planning, retrospective, demos, continuous interactions with customer for feedback.

Minimum Qualifications:

• Excellent communication skills

• Proficiency in Python (C++ is a plus)

• Experience with multi-modal perception sensors used in robotics and automotive, such as camera, lidar, GPS, IMU and radar

• Experience with geometric computer vision, 3-D point cloud processing, image processing, odometry, SLAM and relevant software packages

• Strong analytical and meticulous thinking and problem solving

• Strong and fast learner

Educational Criteria:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3 - 7 years of algorithm development related to automotive sensors or related work experience.

OR

• Master's degree in Engineering, Information Systems, Computer Science, or related field and 2 - 5 years of algorithm development related to automotive sensors or related work experience.

OR

• PhD in Engineering, Information Systems, Computer Science, or related field and 1 - 4 years of algorithm development related to automotive sensors or related work experience.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

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.