Easter Seals Jobs

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

We are looking for experts with strong background in deep learning (DL) field to design state of the art low level perception (LLP) models with the focus on accuracy-latency pareto optimality. This entails comprehending SOTA research in LLP combined with network deployment on Qualcomm Ride platform for L2/L3 ADAS/Autonomous driving.

The job requires candidate to be through in recent advancement in Vision transformers (Cross attention, Self-attention), lifting 2D features to BEV space and their applications to multi modal fusion. The job gives extensive opportunity to collaborate with advanced R&D teams of leading Automotive OEMs as well as QCOM internal stack teams. The team is responsible for improving speed, accuracy, power-consumption, and latency of deep networks running on Snapdragon Ride AI accelerators.

Knowledge of machine learning algorithms, especially related to automotive use-cases (autonomous driving, vision and lidar processing ML algorithms) are necessary.

Research experience with development of efficient networks, various Neural Architecture Search (NAS) techniques, network quantization and pruning is an added plus.

Strong communication and interpersonal skills are required and must be able to work well with various horizontal AI teams.

Preferred Qualifications :

• PhD in related field with 1+ years of relevant experience, master’s with 3+ years, or Bachelor of engineering with 4+ years of relevant experience.

• Good at software development with excellent analytical, development, and problem-solving skills.

• Strong understanding of Machine Learning fundamentals

• Hands-on experience with deep learning network design and implementation. Ability to define network from scratch in PyTorch, ability to add new loss function, modify network with torch.fx. Adept at version control system like GIT.

• Experience in neural network quantization, compression, pruning algorithms.

• Experience in deep learning kernel/compiler optimization

• Strong communication skills

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