Job Description
The Future is Now. Are You Ready to Architect It?
We are looking for a 2026 Visionary AI Engineer to join Nebula Nexus. We are not just building software for tomorrow; we are defining the infrastructure for the next decade. In this role, you will spearhead the development of Artificial General Intelligence (AGI) and its integration with spatial computing environments.
If you are obsessed with pushing the boundaries of what is possible and want to build the foundational technologies that will define the year 2026, this is your opportunity to lead.
Why Join Us?
- Work on the bleeding edge of Neural Interfaces and Spatial AI.
- Competitive compensation package with equity options.
- Remote-first culture with headquarters in San Francisco.
- Access to state-of-the-art compute resources and research data.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable neural architectures capable of generalizing across diverse domains, preparing for the AGI standard of 2026.
- Spatial Computing Integration: Develop algorithms that bridge the gap between digital intelligence and physical spatial environments (AR/VR/XR).
- Predictive Modeling: Lead R&D initiatives to forecast and build autonomous agents that can operate in complex, evolving environments.
- Algorithm Optimization: Reduce inference latency and enhance model efficiency for real-time, high-bandwidth applications.
- Technical Leadership: Mentor junior engineers and set technical standards for the future systems team.
Qualifications
- Education: PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Core Expertise: Deep understanding of Deep Learning, Reinforcement Learning, and Large Language Models (LLMs).
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and C++ for high-performance computing.
- 2026 Readiness: Demonstrated experience with Spatial Computing platforms (e.g., Apple Vision Pro, Meta Quest) or Neural Interface protocols.
- Problem Solving: Ability to tackle ambiguous, undefined problems with creative, data-driven solutions.