Robotics AI Engineer Sr. Staff/Principal Engineer – Embodied AI/Vision Language Action Models
qualcommAbout the role
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:
About the Role
Qualcomm Robotics is shaping the future of intelligent machines. We are looking for a Robotics AI Engineer to help build next generation Vision Language Action (VLA) models. AI systems that enable robots to understand the world, follow natural language instructions, and perform complex tasks. This role combines cutting edge research with practical deployment on Qualcomm’s advanced robotics platforms.
What You’ll Do
Research the latest trends in robotics AI and multimodal learning to inform Qualcomm’s VLA roadmap.
Design and develop models that connect vision, language, and action for real world robotic applications.
Build and maintain training pipelines, datasets, and evaluation benchmarks for embodied AI.
Optimize and deploy models on Qualcomm’s robotics platforms for realtime, ondevice performance.
Collaborate with crossfunctional teams to integrate AI capabilities into Qualcomm’s Robotics SDK and partner solutions.
Contribute to internal knowledge sharing and, where appropriate, publish findings in top AI and robotics venues.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications:
Master’s degree in Computer Science, Robotics, Electrical Engineering, or related field (PhD preferred).
Strong experience in deep learning (transformers, multimodal models) and robotics AI.
Proficiency in Python and frameworks like PyTorch or TensorFlow.
Familiarity with robotics systems, simulation environments, and ROS 2.
Experience with model optimization and deployment on edge or embedded platforms.
Background in vision-language models, policy learning, or robotic foundation models.
Experience with dataset curation, teleoperation d
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s