Qualcomm Autonomous Driving Jobs in Michigan (NOW HIRING)

A Qualcomm Autonomous Driving job involves working on cutting-edge technologies that power self-driving and advanced driver-assistance systems (ADAS). Engineers and researchers in this field develop hardware, software, and AI-driven solutions to improve vehicle perception, decision-making, and control. These roles often require expertise in machine learning, computer vision, sensor fusion, and embedded systems. Qualcomm's autonomous driving division focuses on creating high-performance computing platforms and connectivity solutions for the automotive industry. Employees collaborate with automakers and industry partners to advance autonomous mobility and safety features.

Professionals on Qualcomm's Autonomous Driving team often spend their days developing and testing algorithms for perception, sensor fusion, and control systems, as well as collaborating with software, hardware, and validation teams. You may be involved in data analysis, simulation runs, integration of components onto test vehicles, and ensuring compliance with automotive safety standards. Team members frequently participate in cross-functional meetings to share progress and troubleshoot challenges. A significant part of the role involves staying updated on the latest research and incorporating new technologies to enhance autonomous driving performance. This dynamic environment offers opportunities to shape the next generation of automotive solutions and work on impactful real-world applications.

To thrive in a Qualcomm Autonomous Driving role, you need a solid background in computer science, electrical engineering, or a related field, with expertise in machine learning, embedded systems, and sensor technologies. Familiarity with industry-standard tools such as ROS, C/C++, Python, and deep learning frameworks like TensorFlow, as well as experience with automotive safety standards (e.g., ISO 26262), is highly desirable. Strong problem-solving, teamwork, and communication skills are crucial for collaborating on complex projects and effectively translating technical findings. These skills are vital to creating reliable autonomous systems and advancing cutting-edge vehicle technologies in a fast-paced industry.