Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI convergence systems that will redefine computing paradigms. As our Research Lead, you'll architect next-gen algorithms merging quantum mechanics with neural networks, solving challenges currently deemed impossible. Work in our state-of-the-art downtown San Francisco lab alongside Nobel-caliber scientists, with resources unmatched in the industry.
Responsibilities
- Lead cross-functional R&D teams in developing quantum-AI hybrid algorithms
- Design scalable quantum neural network architectures for enterprise applications
- Collaborate with hardware teams to optimize quantum-AI system performance
- Secure $5M+ annual research grants through NIH/NSF/DARPA proposals
- Present breakthrough findings at top-tier conferences (NeurIPS, QIP)
- Mentor PhD researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- 5+ years in quantum algorithm development with 2+ publications in Nature/Science
- Expertise in quantum machine learning frameworks (Qiskit, Cirq)
- Proven track record of securing federal research funding
- Proficiency in Python, TensorFlow, and quantum circuit simulation
- Experience leading teams of 10+ researchers in high-stakes environments