Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of AI-quantum integration. As our Quantum AI Research Lead, you'll architect breakthrough systems that redefine computational boundaries in the 2026 landscape. We're seeking a visionary leader to drive research initiatives that merge quantum computing with advanced neural networks, creating solutions for industries ranging from biotechnology to autonomous systems.
Our state-of-the-art facility in San Francisco's tech corridor offers unparalleled resources, including a 128-qubit quantum processor and dedicated AI supercomputing clusters. This role presents an opportunity to shape humanity's technological trajectory while working alongside Nobel laureates and Turing Award winners in an environment that celebrates bold innovation.
Responsibilities
- Lead cross-functional teams in developing quantum-enhanced machine learning algorithms
- Architect hybrid quantum-classical computing frameworks for enterprise applications
- Secure $5M+ in research grants from NSF, DARPA, and private foundations
- Publish 3+ peer-reviewed papers annually in Nature/Science journals
- Collaborate with MIT and Stanford on quantum-AI integration protocols
- Mentor PhD researchers in quantum information science
- Develop patents for quantum neural network optimization techniques
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (Postdoc preferred)
- 5+ years of quantum algorithm development experience
- Proven track record of securing federal research funding
- Expertise in Qiskit, Cirq, and quantum error correction protocols
- Published research in top-tier quantum/AI conferences (QIP, NeurIPS)
- Proficiency in Python, TensorFlow Quantum, and quantum circuit design
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)