AI/ML Engineer

About the job

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.

Requirements

• AI/ML
• C++
• Embedded firmware
• Machine learning
• TensorFlow
• PyTorch
• XR technologies

Qualifications

• Bachelor’s or Master’s degree in Computer Science
• Electrical Engineering
• or a related field

Preferred Technologies

• AI/ML
• C++
• Embedded firmware
• Machine learning
• TensorFlow
• PyTorch
• XR technologies