Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum-AI integration for next-generation computational paradigms. Our multidisciplinary team is developing proprietary quantum algorithms to solve previously unsolvable challenges in cryptography, materials science, and artificial intelligence. This role offers unparalleled opportunity to shape the future of human-machine collaboration in a state-of-the-art facility with unlimited research resources.
We provide comprehensive benefits including equity grants, flexible hybrid work, and access to our exclusive quantum computing lab. Ideal candidates thrive in ambiguous environments and possess deep expertise in both quantum mechanics and machine learning.
Responsibilities
- Design and implement novel quantum neural network architectures
- Develop hybrid quantum-classical algorithms for optimization problems
- Lead experimental validation of quantum supremacy protocols
- Collaborate with AI teams to integrate quantum processors into deep learning pipelines
- Author peer-reviewed publications and white papers on quantum-AI convergence
- Mentor junior researchers in quantum computing methodologies
- Secure external research funding through NSF and DARPA grants
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of quantum error correction and fault tolerance
- Publication record in top-tier quantum computing journals (Nature Physics, PRL)
- Expertise in machine learning frameworks (TensorFlow, PyTorch)
- Strong background in linear algebra and quantum information theory
- Experience with high-performance computing environments