Job Description
Shape the technological landscape of 2026 as our Quantum AI Research Lead at Nexus Future Labs. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. Join a multidisciplinary team of visionaries developing breakthrough algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to publish groundbreaking research and influence next-gen AI infrastructure.
Responsibilities
- Lead R&D initiatives in quantum machine learning algorithms for 2026-era applications
- Collaborate with quantum hardware engineers to optimize AI-quantum integration
- Develop proprietary neural networks leveraging quantum parallelism
- Secure $2M+ in research funding through NSF and DARPA proposals
- Mentor PhD researchers in quantum AI methodologies
- Publish 4+ peer-reviewed papers annually in Nature/Science journals
- Partner with MIT and Stanford on cross-institutional quantum projects
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (2020-2026)
- 3+ years experience with quantum circuit design using Qiskit or Cirq
- Published research in quantum machine learning or topological quantum computing
- Expertise in Python, TensorFlow, and quantum simulation frameworks
- Proven track record of securing government research grants
- Experience with D-Wave or IBM quantum hardware systems
- Deep understanding of quantum error correction protocols
- Strong background in differential geometry for quantum state modeling