Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As our Quantum AI Research Lead, you'll architect next-gen algorithms for our flagship Project Chronos, leveraging quantum supremacy to solve previously unsolvable challenges in drug discovery, climate modeling, and neural encryption. You'll collaborate with Nobel laureates and MIT-trained engineers in our state-of-the-art San Francisco lab, where we've already achieved 99.7% quantum coherence in live simulations.
This isn't just research—it's legacy engineering. Your breakthroughs will power the infrastructure for the next decade's AI evolution, with direct impact on healthcare, aerospace, and sustainable energy sectors. We offer equity, flexible remote options, and unparalleled R&D resources including our proprietary 128-qubit quantum annealer.
Responsibilities
- Design and implement hybrid quantum-classical AI frameworks for complex system optimization
- Lead cross-functional teams of quantum physicists and ML engineers in algorithm development
- Author peer-reviewed publications for Nature Quantum and IEEE journals
- Develop patent-pending protocols for quantum-resistant blockchain architectures
- Mentor PhD candidates through our Quantum-AI Fellowship program
- Present breakthrough findings to federal agencies and Fortune 500 partners
- Drive ethical AI governance frameworks for quantum-enabled autonomous systems
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics
- 5+ years experience with quantum algorithm development (Qiskit, Cirq, or PennyLane)
- Published research in top-tier quantum/AI conferences (QIP, NeurIPS, ICML)
- Expertise in tensor networks and quantum error correction codes
- Proven track record of leading $10M+ research initiatives
- Deep understanding of quantum machine learning architectures
- Security clearance preferred for government-contract work