Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's grandest challenges. Our multidisciplinary team operates at the intersection of quantum physics, machine learning, and computational neuroscience. This role offers unparalleled opportunities to publish breakthrough research, collaborate with Nobel laureates, and develop patentable quantum algorithms that will redefine computing paradigms.
We provide competitive equity packages, flexible hybrid work arrangements, and access to our state-of-the-art quantum annealing lab. Your work will directly impact fields from drug discovery to climate modeling.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-functional research initiatives in quantum neural networks and topological quantum computing
- Publish high-impact papers in Nature/Science journals and present at IEEE Quantum Week
- Develop patentable quantum solutions for real-world enterprise problems
- Mentor PhD candidates and junior researchers in quantum-AI methodologies
- Collaborate with hardware teams to optimize quantum circuit architectures
- Secure $2M+ in annual research grants from NSF and DARPA
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning
- 5+ years of experience in quantum algorithm development or quantum machine learning
- Proficiency in Qiskit, Cirq, or quantum circuit optimization frameworks
- Published research in quantum machine learning or topological quantum computing
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with high-performance computing environments (HPC, GPU clusters)
- Demonstrated ability to translate theoretical models into practical implementations