Job Description
Join the Revolution with Project 2026
Nexus Future Labs is pioneering the next generation of artificial intelligence. We are seeking a visionary Senior Quantum AI Architect to lead the technical direction of our ambitious Project 2026 initiative. If you are passionate about pushing the boundaries of what is possible in machine learning and quantum computing, this is your chance to shape the future.
As a key member of our elite R&D team, you will be responsible for designing scalable, fault-tolerant neural architectures that bridge classical and quantum computing paradigms. This role offers a competitive salary, equity package, and the opportunity to work in a state-of-the-art facility in the heart of San Francisco.
Responsibilities
- Lead R&D: Spearhead the research and development of next-generation quantum machine learning algorithms specifically for the Project 2026 ecosystem.
- Architecture Design: Design and implement high-performance, distributed computing systems capable of handling petabyte-scale datasets.
- Model Optimization: Refine existing AI models to achieve quantum advantage, focusing on energy efficiency and inference speed.
- Cross-Functional Leadership: Mentor junior engineers and collaborate with data scientists, hardware engineers, and product managers to translate theoretical research into production-ready solutions.
- Proof of Concepts: Develop and validate proof-of-concept prototypes that demonstrate the feasibility of novel quantum approaches.
- Technical Strategy: Stay ahead of industry trends in quantum computing, AI, and edge processing to ensure Nexus Future Labs remains at the cutting edge.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Physics, Mathematics, or a related technical field (or equivalent practical experience).
- Experience: 5+ years of professional experience in AI/ML engineering, with a strong background in deep learning frameworks (PyTorch, TensorFlow, JAX).
- Technical Skills: Proficiency in Python, C++, and CUDA programming. Familiarity with quantum computing libraries (Qiskit, Cirq) or quantum simulation tools is highly preferred.
- System Design: Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and high-availability architectures.
- Problem Solving: Demonstrated ability to solve complex, open-ended technical problems in ambiguous environments.
- Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to diverse stakeholders.