Job Description
We are on the precipice of a technological renaissance. Nexus Horizon Labs is seeking a visionary AI Systems Architect to define the 2026 technology roadmap. In this high-impact role, you will bridge the gap between current machine learning capabilities and the autonomous systems of tomorrow.
You will lead the architectural vision for our next-generation neural networks, integrating quantum computing principles with deep learning frameworks. This is a unique opportunity to shape the foundational infrastructure that will define the future of human-computer interaction.
Why Join Us?
- Work at the forefront of Future Tech and Artificial General Intelligence (AGI).
- Competitive compensation package with equity options.
- Flexible remote-first culture with premium office amenities in SF.
- Access to cutting-edge hardware and research grants.
Responsibilities
- Lead the strategic definition and execution of the 2026 technology roadmap, ensuring alignment with long-term business goals.
- Architect scalable, fault-tolerant neural network systems capable of handling petabyte-scale data.
- Integrate emerging technologies, including quantum algorithms and neuromorphic computing, into existing ML pipelines.
- Establish technical standards for AI safety, ethics, and transparency.
- Mentor a team of senior engineers and foster a culture of continuous innovation and research.
- Collaborate with product and engineering teams to translate complex research into deployable solutions.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- 10+ years of experience in software engineering, with at least 5 years in high-scale machine learning systems.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed systems architecture.
- Experience with quantum computing frameworks (Qiskit, Cirq) or a strong desire to pioneer in this niche.
- Proven track record of leading technical teams through complex architectural transitions.
- Strong understanding of LLMs, transformers, and generative AI models.