Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Spatial Computing Engineer - 2026 Roadmap

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are Nexus Future Systems, a pioneering R&D firm defining the interaction paradigms of the 2026 era. We are building the next generation of Spatial Intelligence interfaces that bridge the gap between the physical and digital worlds.

As we accelerate toward our 2026 product launch, we are seeking a visionary Senior AI & Spatial Computing Engineer to lead the architecture of our neural interfaces and spatial mapping engines. You will not just be writing code; you will be crafting the reality of tomorrow.

Why Join Us?

  • Impact First: Your work will directly influence how billions interact with information.
  • Future-Proof: Work on bleeding-edge technologies (GenAI + Spatial Computing).
  • Top Tier: Competitive equity package and performance bonuses.

Responsibilities

  • Architect and deploy scalable machine learning models optimized for edge computing and spatial environments.
  • Lead the technical definition of the 2026 product roadmap, focusing on gesture recognition and spatial understanding.
  • Integrate advanced LLMs (Large Language Models) with AR/VR environments to create context-aware assistants.
  • Optimize rendering pipelines and physics simulations for real-time interaction.
  • Mentor a high-performing team of AI researchers and frontend developers.
  • Collaborate with UX designers to translate complex data into intuitive visual feedback.

Qualifications

  • Master’s degree or PhD in Computer Science, AI, Robotics, or a related field (or equivalent professional experience).
  • 7+ years of experience in software engineering, with at least 3 years specializing in AI/ML and spatial technologies.
  • Proficiency in Python, C++, and modern shader languages (GLSL/HLSL).
  • Experience with Spatial Computing platforms (e.g., Apple Vision Pro, Meta Quest SDKs, Unreal Engine 5).
  • Strong understanding of computer vision, SLAM (Simultaneous Localization and Mapping), and sensor fusion.
  • Experience deploying models on cloud infrastructure (AWS/GCP) and edge devices.

Required Skills

Python TensorFlow PyTorch C++ Unreal Engine Spatial Computing Computer Vision Cloud Architecture SLAM

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All