Job Description
Join Nexus Quantum Technologies at the forefront of 2026's technological revolution! We're pioneering quantum-AI convergence for next-generation computational solutions. Our multidisciplinary team develops hybrid quantum-neural architectures to solve previously impossible optimization problems in cryptography, drug discovery, and climate modeling. Work alongside Nobel-caliber researchers in our state-of-the-art lab overlooking the Bay Bridge. We offer competitive equity packages, flexible hybrid work, and unparalleled professional development in this emerging field.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Collaborate with hardware engineers to optimize quantum circuit performance on superconducting processors
- Develop hybrid quantum-classical neural networks for predictive analytics
- Lead research publications in top-tier quantum computing journals
- Translate theoretical quantum protocols into deployable enterprise solutions
- Mentor junior researchers in quantum information theory
- Secure patents for breakthrough quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years experience with quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Proficiency in Python/C++ and high-performance computing frameworks
- Deep understanding of quantum error correction and fault tolerance
- Experience with quantum simulators (IBM Q, Rigetti Forest)
- Strong background in linear algebra and complex probability theory
- Proven track record of translating research to production systems