Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that merge quantum computing with neural networks, pushing beyond classical computation limits. Our state-of-the-art lab offers unparalleled resources to transform theoretical breakthroughs into real-world applications across healthcare, climate modeling, and cryptography. Collaborate with Nobel laureates and disruptors in an environment where curiosity fuels innovation. This isn't just research—it's the future of intelligence.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Develop hybrid quantum-classical neural networks exceeding classical performance benchmarks
- Lead experimental validation of quantum-AI models on 100+ qubit processors
- Collaborate with cross-functional teams to deploy quantum solutions in production environments
- Publish breakthrough research in top-tier journals and industry conferences
- Secure $2M+ in research grants through innovative project proposals
- Mentor PhD candidates and junior researchers in quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 3+ years industry experience
- Expertise in quantum algorithms (QAOA, VQE, QML) and frameworks (Qiskit, Cirq, PennyLane)
- Proven track record of publishing in Nature/Science or equivalent tier journals
- Mastery of Python, TensorFlow/PyTorch, and low-level quantum assembly languages
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Strong background in topological quantum error correction and fault tolerance
- Demonstrated ability to secure competitive research funding
- Published work on quantum neural networks or variational quantum algorithms