Job Description
We are building the operating system for the year 2026. Nebula Horizon is seeking a visionary Next-Generation AI Architect to lead the development of our proprietary synthetic cognition platform. In this role, you will define the architectural frameworks for AGI (Artificial General Intelligence) and bridge the gap between neural networks and quantum computing infrastructure. If you want to be at the forefront of technology, solving humanity's most complex challenges, this is your opportunity.
Why Join Us?
We offer a competitive salary, significant equity, and a fully remote-first culture that empowers deep work. You will have access to the latest hardware accelerators and the freedom to experiment with cutting-edge algorithms.
Key Responsibilities:
- Design and implement scalable, fault-tolerant neural architectures capable of processing multi-modal data streams in real-time.
- Lead the integration of machine learning models with next-gen quantum processing units to enhance algorithmic efficiency.
- Develop and enforce robust safety protocols and alignment strategies for autonomous agents.
- Collaborate with cross-functional teams of neuroscientists, software engineers, and ethicists to refine system capabilities.
- Optimize model inference latency and reduce computational overhead for edge deployment scenarios.
- Conduct research into novel loss functions and optimization techniques for non-linear problem spaces.
- Mentor junior engineers and define technical roadmaps for the AI infrastructure team.
Responsibilities
- Design scalable neural architectures for multi-modal data processing.
- Integrate ML models with quantum computing infrastructure.
- Develop safety and alignment protocols for AGI.
- Optimize model inference latency for edge devices.
- Lead research into novel optimization techniques.
- Mentor engineering teams on advanced AI concepts.
- Define technical roadmaps for infrastructure scaling.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- 5+ years of professional experience designing large-scale machine learning systems at top-tier tech companies or research institutions.
- Deep expertise in Python, PyTorch, TensorFlow, and JAX.
- Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).
- Experience with quantum computing frameworks (Qiskit, Cirq) is highly preferred.
- Strong understanding of AI ethics, safety, and responsible AI principles.
- Ability to thrive in a fast-paced, high-uncertainty environment.