Job Description
Join Nexus Labs at the forefront of quantum-AI convergence to shape technologies for 2026 and beyond. We're seeking visionary researchers to develop next-generation quantum computing algorithms that will revolutionize machine learning, cryptography, and computational physics. This role offers unparalleled access to cutting-edge quantum hardware and collaborative partnerships with global tech leaders.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era AI applications
- Develop error-correction protocols for fault-tolerant quantum computing systems
- Lead cross-functional teams in prototyping quantum-AI hybrid solutions
- Publish breakthrough research in top-tier journals and industry conferences
- Collaborate with hardware engineers to optimize quantum algorithm performance
- Secure $2M+ in government and private research funding
- Mentor junior researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Published research in quantum machine learning or quantum algorithms
- Expertise in tensor networks and quantum circuit optimization
- Deep understanding of quantum error correction and fault tolerance
- Strong Python/C++ programming and mathematical modeling skills
- Experience with cloud-based quantum computing platforms (IBM Quantum, AWS Braket)
- Proven track record of securing research grants or industry partnerships