Job Description
Shape the future of artificial intelligence at Nexus Future Labs. We're pioneering quantum-AI fusion technologies that will redefine computing by 2026. As our Quantum AI Research Lead, you'll architect breakthrough algorithms, collaborate with Nobel laureates, and transform theoretical models into scalable solutions. Join our cross-disciplinary team where innovation meets execution, and help build the computational backbone of tomorrow's digital ecosystems.
We offer equity, unlimited R&D budget, and access to our quantum annealing supercluster. Your work will directly influence next-gen AI frameworks, quantum machine learning protocols, and autonomous system architectures that will power industries from healthcare to space exploration.
Responsibilities
- Design quantum-enhanced neural networks for unsupervised learning breakthroughs
- Lead cross-functional teams in developing fault-tolerant quantum AI algorithms
- Architect hybrid quantum-classical computing pipelines for real-time decision systems
- Collaborate with hardware teams to optimize quantum-AI co-design protocols
- Publish peer-reviewed research in Nature/Science journals with 2026 impact targets
- Secure $5M+ in DARPA/NSF grants for quantum-AI frontier research
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
- Published work in top-tier ML conferences (NeurIPS, ICML) or quantum journals
- Expertise in tensor networks, quantum error correction, and NISQ-era algorithms
- Proven track record of leading $1M+ research initiatives
- Strong Python/C++ proficiency with HPC optimization experience