AI/ML Engineer

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.