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Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > ADAS R&D Systems

General Summary:

We are seeking Machine Learning Engineers to develop behavioral foundation models and drive the future of autonomy across all current and future vehicle generations. You will be part of a lean, boundary-less team with access to extensive, diverse real-world datasets from various geographies and sensor setups.

Minimum** **Requirements

+ Proficient in Python programming with expertise in machine learning libraries like PyTorch.

+ Solid understanding of deep learning, including the underlying principles and mechanisms of modern deep learning algorithms.

+ Experience working with, modifying, and creating advanced algorithms.

+ Analytical and scientific mindset, with the ability to solve complex problems.

+ Excellent written and verbal communication skills, with the ability to work with a cross-functional team.

Preferred Qualifications

+ Ph.D. + 1 year of industry experience in the autonomous driving or robotics domain.

+ Proficient in deep learning models and generative models, including transformers and diffusion models.

+ Experience in reinforcement learning, including areas such as offline RL, reward modeling, and other related techniques.

+ Experience working with simulation environments and real-world data for model validation and performance benchmarking.

+ Track record of publications at top-tier conferences like NeurIPS, CVPR, ICRA, ICLR, CoRL, etc.

+ Familiarity with self-driving technologies, sensor data processing, and real-time decision-making algorithms.

+ Experience with large-scale machine learning systems, distributed training, and deploying models in production environments.

Roles/Responsibilities

+ Design and refine behavioral models using advanced deep learning techniques to ensure safe and efficient autonomous driving and to navigate complex driving scenarios effectively.

+ Train and integrate deep learning models with real-world data and simulation frameworks to enhance model accuracy and reliability.

+ Collaborate with researchers and engineers to push the boundaries of AI, driving innovation in autonomous vehicle technology.

+ Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.

+ Has a great degree of influence over key organizational decisions.

+ Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

+ Provides leadership and supervision/guidance to other team members.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 6+ years of Systems Engineering or related work experience.

OR

Master's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 5+ years of Systems Engineering or related work experience.

OR

PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 4+ years of Systems Engineering or related work experience.

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 [email protected] 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. (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).

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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** **and Other Compensation & Benefits** **:

$179,000.00 - $268,400.00

The 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 – and you can review more details about our US benefits at this link .

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