Robotics Lead AI - ( Senior Staff)
Qualcomm · Bangalore, India
About this role
Qualcomm is hiring a staff-level AI Engineer in the machine learning function based in Bangalore, India. The posting calls out experience with PyTorch, Deep Learning, Git, Networking.
- Role
- AI Engineer
- Function
- machine learning
- Level
- staff
- Track
- Individual contributor
- Location
- Bangalore, India
- Posted
- Oct 22, 2025
More roles at Qualcomm
Job description
from Qualcomm careers##
Company:
Qualcomm India Private Limited
## Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
We are seeking experts with a robust background in the field of deep learning (DL) to design state-of-the-art low-level perception (LLP), end-to-end models and Vision-Language models(VLM)/ Vision-Language-Action models(VLA) for Autonomous Driving and Robotics use cases, with a focus on achieving accuracy-latency Pareto optimality. This role involves comprehending state-of-the-art research in this field and deploying networks on the Qualcomm Ride platform Autonomous driving and Robotics applications.