Easter Seals Jobs

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

At Qualcomm, we are transforming the automotive industry with our Snapdragon Digital Chassis and building the next generation software defined vehicle (SDV). Snapdragon Ride is an integral pillar of our Snapdragon Digital Chassis, and since its launch it has gained momentum with a growing number of global automakers and Tier1 suppliers.  Snapdragon Ride aims to address the complexity of autonomous driving and ADAS by leveraging its high-performance, power-efficient SoC, industry-leading artificial intelligence (AI) technologies and pioneering vision and drive policy stack to deliver a comprehensive, cost and energy efficient systems solution.

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?

We are ramping up the development of our fifth-generation vision perception and driver policy platform. The platform has already had commercial success with a major German vehicle manufacturer sourcing it for upcoming luxury vehicles. The platform will include solutions for the next generation advanced driver assist systems (ADAS) and autonomous driving (AD) with the goal of being the global market leader.

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.

We work in cross functional teams. While each team member contributes with their own skills and experience, the team cooperates to perform the different steps in development. The teams are responsible for all steps in development, including system work, implementation, and verification.

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.

Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) . 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.

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.

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If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification