Job Description
Are you ready to engineer the future?
Nexus Future Labs is on a mission to redefine the boundaries of computation. As we approach the pivotal year of 2026, we are seeking a visionary Lead Quantum AI Architect to lead our cutting-edge R&D division. You will be at the forefront of merging quantum mechanics with artificial intelligence, building systems that are not just advanced, but revolutionary.
In this role, you won't just write code; you will architect the logic of tomorrow. You will work directly with hardware engineers to optimize quantum circuits for real-world AI applications. If you are passionate about the intersection of physics and software and want to leave a legacy in the tech industry, this is your opportunity.
Why join Nexus Future Labs?
- Work with the most advanced quantum hardware prototypes available today.
- Competitive compensation package including equity options.
- Flexible remote-first culture with quarterly innovation sprints in SF.
- Access to continuous learning in emerging tech disciplines.
Ready to shape the 2026 landscape? Apply now.
Responsibilities
- Architect Quantum Algorithms: Design and implement complex quantum algorithms tailored for AI optimization, machine learning, and cryptography problems.
- Hybrid System Integration: Bridge the gap between classical computing and quantum processing units (QPUs) to build robust hybrid AI pipelines.
- Hardware-Software Co-Design: Collaborate with hardware teams to optimize quantum gates and qubit coherence for specific AI workloads.
- R&D Leadership: Mentor a team of junior researchers and software engineers, fostering a culture of innovation and technical excellence.
- Paper Publication & Patenting: Lead the technical documentation process for research findings and file patents for novel computing methodologies.
- Performance Tuning: Continuously analyze and optimize quantum circuit depth and error rates to ensure scalable production environments.
Qualifications
- Education: Ph.D. in Physics, Computer Science, Mathematics, or a related technical field with a focus on Quantum Information Science.
- Technical Proficiency: Deep experience in Python, C++, and Qiskit, Cirq, or TensorFlow Quantum.
- Research Experience: Proven track record of publishing in top-tier academic conferences (e.g., Nature, Science, IEEE) or leading open-source quantum projects.
- System Design: Strong ability to design fault-tolerant systems and manage high-scale data structures in a quantum environment.
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Passion: A deep-seated interest in the future of computing and the ethical implications of emerging technologies.