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Lead Spatial AI Engineer - San Francisco, CA

OmniDimension Corp
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are looking for a visionary Lead Spatial AI Engineer to join OmniDimension Corp. As we prepare to launch our flagship product in 2026, we are building the next generation of immersive computing experiences that seamlessly blend physical reality with artificial intelligence.

In this role, you will be at the forefront of the spatial computing revolution, designing algorithms that power intelligent environments. You will work closely with our research team to develop neural interfaces that understand context, gesture, and intent in real-time. If you are passionate about the future of human-computer interaction and want to define the standards for the 2026 digital landscape, we want to hear from you.

Why Join Us?
• Competitive salary and equity package.
• Cutting-edge technology stack (Unity, Unreal, TensorFlow).
• Flexible remote-first culture with a central SF hub.
• Focus on high-impact, long-term projects.

Responsibilities

  • Architect and implement advanced AI models tailored for spatial computing environments, including gesture recognition and object manipulation.
  • Optimize neural networks for low-latency performance on edge devices and spatial displays.
  • Collaborate with UX designers to translate complex AI behaviors into intuitive, natural user interfaces.
  • Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
  • Stay abreast of the latest advancements in LLMs, computer vision, and spatial mapping technologies.

Qualifications

  • Ph.D. or M.S. in Computer Science, AI, Robotics, or a related technical field.
  • 5+ years of experience in AI/ML engineering, with at least 2 years specifically focused on spatial computing or computer vision.
  • Proficiency in Python, C++, and relevant frameworks such as PyTorch or TensorFlow.
  • Experience with spatial development tools (Unity, Unreal Engine) and 3D spatial mapping APIs.
  • Strong understanding of machine learning pipelines, data annotation, and model deployment.

Required Skills

Spatial Computing Machine Learning Computer Vision Python C++ Unity Unreal Engine Neural Networks 3D Rendering Edge AI

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