AI/ML Engineer XR Software

6 days ago

Bengaluru, India Qualcomm Full time

Job Area:Engineering Group, Engineering Group > Systems Engineering

General Summary:

We are seeking a passionate and skilledAI/ML Engineerto join our cutting-edgeExtended Reality (XR)Software team. In this role, you will work on next-generation XR products that blend the physical and digital worlds, leveraging artificial intelligence and machine learning to create immersive, intelligent, and responsive experiences.

You will collaborate with cross-functional teams of researchers, engineers, and designers to build real-time AI/ML software optimized for XR platforms. A strong background inC++ or embedded firmware developmentis essential, as you will be working close to hardware and performance-critical systems.

Key Responsibilities

  • Design, develop, and optimize AI/ML models for XR applications such as computer vision, sensor fusion, gesture recognition, and spatial understanding.
  • Implement real-time inference pipelines on embedded or edge devices.
  • Collaborate with firmware and hardware teams to integrate ML models into XR systems.
  • Analyze system performance and optimize for latency, power, and memory.
  • Stay up to date with the latest research and trends in AI/ML and XR technologies.
  • Contribute to the full lifecycle of product developmentfrom prototyping to production.

Required Qualifications

  • Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field.
  • 1-10 years of industry experience in AI/ML engineering or embedded systems.
  • Proficiency inC++and/orembedded firmware development.
  • Solid understanding of machine learning fundamentals and experience with frameworks likeTensorFlow,PyTorch, orONNX.
  • Experience with deploying ML models on edge devices
  • Familiarity with XR technologies (AR/VR/MR), sensor data processing, or 3D spatial computing.

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

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