Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Research Lead, you'll architect next-gen computational systems that redefine possibilities in medicine, climate modeling, and cryptography. Our state-of-the-art facility in San Francisco offers unparalleled resources, including a 102-qubit quantum processor and dedicated AI supercluster.
We value audacious thinkers who thrive at the intersection of quantum physics and machine learning. You'll collaborate with Nobel laureates and publish breakthrough research in Nature's special 2026 technology edition. This role offers equity, unlimited R&D budget, and the opportunity to shape humanity's computational future.
Responsibilities
- Design quantum algorithms for AI training acceleration
- Lead cross-functional teams in quantum-neural network development
- Secure $5M+ in government/industry grants
- Develop error-correction protocols for practical quantum computing
- Author 3+ peer-reviewed publications annually
- Drive commercialization of quantum-AI applications
- Mentor postdoctoral researchers in quantum machine learning
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 5+ years in quantum algorithm development
- Published work in Nature/Science on quantum systems
- Expertise in Qiskit, Cirq, and quantum error correction
- Experience securing DARPA/NSF research grants
- Deep learning architecture certification (TensorFlow/PyTorch)
- Patent portfolio in quantum or AI technologies