Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As our Quantum AI Research Lead, you'll architect next-gen systems that will redefine industries by 2026. This role offers unparalleled resources and autonomy to transform theoretical breakthroughs into scalable solutions.
We're seeking a visionary who thrives at the intersection of quantum mechanics, machine learning, and computational theory. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, where cutting-edge research meets real-world impact.
Responsibilities
- Lead R&D initiatives in quantum neural networks and AI-quantum hybrid systems targeting 2026 deployment milestones
- Architect fault-tolerant quantum algorithms for machine learning applications
- Develop predictive models for quantum computing scalability and error correction
- Coordinate cross-functional teams of quantum physicists, AI specialists, and hardware engineers
- Secure $10M+ in research grants and publish breakthrough findings in Nature/Science journals
- Establish ethical frameworks for quantum AI deployment in regulated industries
- Present strategic roadmaps to C-suite executives and government innovation councils
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning with 8+ years industry experience
- Published research in quantum supremacy or quantum machine learning (Nature/Science preferred)
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and AI frameworks (TensorFlow Quantum)
- Proven track record leading quantum AI projects with measurable 2026-relevant outcomes
- Deep understanding of quantum error correction and fault-tolerant architectures
- Experience securing government grants (DARPA, NSF) or venture capital for quantum initiatives
- Strong network with quantum hardware providers (IBM, Rigetti, IonQ) and AI research institutions