AI/ML Engineer – XR Software (All levels))

We are seeking a passionate and skilled AI/ML Engineer to join our cutting-edge Extended 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 in C++ or embedded firmware development is 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 development—from prototyping to production. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. 1–10 years of industry experience in AI/ML engineering or embedded systems. Proficiency in C++ and/or embedded firmware development. Solid understanding of machine learning fundamentals and experience with frameworks like TensorFlow, PyTorch, or ONNX. 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.