Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:
We are looking for a machine learning engineer who can develop and implement novel perception algorithms for autonomous driving using low-level fusion architecture. You will be part of a team that is building an environment world model, using sensor data from cameras, lidars, radars, and other sources.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications:
- Master's or PhD degree in computer science, electrical engineering, robotics, or related fields
- Strong background and experience in machine learning, computer vision, and sensor fusion
- Proficient in Python and C++, and familiar with PyTorch, TensorFlow, or other deep learning frameworks
- Experience in working with sensor data from cameras, lidars, radars, or other sources
- Knowledge of low-level fusion architectures and non-parametric methods
- Ability to work independently and in a team, and to communicate effectively
- Passion for autonomous driving and solving challenging problems
Roles/Responsibilities:
- Designing, training, and testing deep neural networks for various perception tasks, such as object detection, segmentation, tracking, and classification
- Developing and optimizing low-level fusion methods that combine multiple modalities and enhance the performance and robustness of the perception system
- Evaluating and benchmarking the perception system on real-world scenarios and datasets
- Collaborating with other engineers and researchers to integrate the perception system into the autonomous driving stack
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 disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. 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. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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.
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.
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.
Pay range:
$148,500.00 - $222,500.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer!
If you would like more information about this role, please contact Qualcomm Careers.
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