AI Lead – Autonomous Driving/Reasoning/Vision Language Action Models

Qualcomm

Actively hiring
San Diego, CA Posted 11 days ago $211,900–$317,900 / year
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At a glance

AI generated

TL;DR

As an AI Lead at Qualcomm Technologies’ Autonomous Driving R&D Systems team, you will spearhead the design and development of next-generation end-to-end driving models for advanced driver assistance systems (ADAS), focusing on vision-language understanding and world modeling. Your daily tasks include researching cutting-edge autonomous driving AI trends to inform Qualcomm’s roadmap, building training pipelines and datasets, establishing robust evaluation frameworks, and optimizing models for real-time performance on automotive-grade platforms. You will collaborate with cross-functional teams across software, hardware, product, and partner ecosystems to deliver production-ready systems while mentoring engineers and fostering a high-performing team environment. Preferred qualifications include expertise in deep learning, autonomous driving stacks, Python proficiency, system design, embedded platform deployment, automotive software stacks, and model compression techniques for efficient AI deployments.

Skills

Python PyTorch TensorFlow deep learning autonomous driving stacks embedded/edge platforms automotive software stacks vision-language models policy learning model compression techniques sim-to-real transfer simulation environments CI/CD

What you'll do

  • Research trends in autonomous driving AI, End-to-End stacks, World Models, and VLA model development.
  • Design and develop e2e Driving Models for ADAS and autonomous driving applications.
  • Build and maintain training pipelines, datasets, and evaluation benchmarks for autonomous driving AI.
  • Establish metrics, evaluation frameworks, and simulation strategies for robust system validation.
  • Optimize models for real-time, on-device performance on Qualcomm automotive platforms.

What we're looking for

  • Bachelor's degree in a relevant field with 8+ years of Systems Engineering experience or equivalent.
  • Strong expertise in deep learning, autonomous driving stacks, and AI system deployments.
  • Proficiency in Python and frameworks like PyTorch or TensorFlow.
  • Experience designing and integrating complex AI systems across software and hardware.
  • Background in automotive software stacks, simulation environments, and validation workflows.
  • Knowledge of model compression techniques for efficient deployment on embedded/edge platforms.
  • Strong communication skills and ability to work collaboratively in a fast-paced environment.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 595 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 540 roles with salary data.

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