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 principles and mechanisms of modern 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 autonomous driving or robotics.
• Proficient in deep learning and generative models, including transformers and diffusion models.
• Experience in reinforcement learning, offline RL, reward modeling, etc.
• Experience with simulation environments and real-world data for model validation.
• Track record of publications at top-tier conferences like NeurIPS, CVPR, ICRA, ICLR, CoRL.
• Familiarity with self-driving technologies, sensor data processing, real-time decision algorithms.
• Experience with large-scale machine learning systems, distributed training, deployment.

Roles/Responsibilities

• Design and refine behavioral models for autonomous driving using advanced deep learning techniques.
• Train and integrate models with real-world data and simulation frameworks.
• Collaborate with researchers and engineers to innovate in autonomous vehicle technology.
• Communicate complex information effectively; may involve negotiation and influence.
• Provide leadership and guidance to team members.

Minimum Qualifications:

Bachelor's degree in relevant fields with 6+ years of experience, or Master's with 5+ years, or PhD with 4+ years in Systems Engineering or related.

Qualcomm is an equal opportunity employer. For accommodations, contact ...@qualcomm.com.

EEO Statement: Qualcomm is committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other protected classes.

Pay Range & Benefits: $179,000 - $268,400, including bonuses, RSUs, and comprehensive benefits. Contact your recruiter for details and review our US benefits online.

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