Job Description
Join Nexus Future Labs at the forefront of 2026 technological evolution. We're pioneering quantum-adjacent AI systems that will redefine computing paradigms. This role offers unparalleled opportunity to shape the next wave of human-machine collaboration in our state-of-the-art San Francisco R&D hub. You'll work alongside Nobel-caliber researchers to develop scalable quantum-inspired algorithms for real-world applications.
Responsibilities
- Lead cross-functional teams in designing quantum-resistant cryptographic protocols
- Architect next-gen neural networks leveraging quantum-inspired tensor processing
- Develop proprietary quantum simulation frameworks for industrial applications
- Collaborate with hardware teams to optimize quantum-classical hybrid systems
- Publish breakthrough research in top-tier journals/conferences
- Secure $5M+ in government/private quantum innovation grants
- Mentor PhD candidates in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Advanced AI with 5+ years research
- Published author in Nature/Science or equivalent quantum/AI journals
- Expertise in quantum circuit design and error correction algorithms
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Track record of securing federal quantum research grants
- Deep understanding of quantum-classical hybrid architectures
- Experience with large-scale distributed quantum simulations
- Fluency in Python/C++ with high-performance computing optimization