Job Description
Join Nexus Futures Inc. at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. As a Quantum AI Research Lead, you'll architect next-generation systems that redefine computational boundaries in fields from drug discovery to climate modeling. Our Austin-based innovation hub offers unparalleled resources and collaborative freedom to transform theoretical concepts into tangible breakthroughs.
We're seeking visionary researchers who thrive at the intersection of quantum mechanics, machine learning, and scalable architecture. You'll lead a cross-disciplinary team pushing the limits of quantum neural networks and error-corrected algorithms, with direct impact on our 2026 product roadmap. This role includes competitive equity, flexible R&D budget, and access to our quantum annealing supercluster.
Responsibilities
- Design and implement quantum-classical hybrid AI frameworks for enterprise applications
- Lead research in quantum error mitigation and fault-tolerant algorithms
- Collaborate with hardware teams to optimize quantum circuit performance
- Develop patent-pending quantum machine learning methodologies
- Present breakthrough findings at industry conferences and peer-reviewed journals
- Mentor quantum computing specialists and AI researchers
- Define technical roadmap for quantum AI product development
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years developing quantum algorithms or quantum machine learning systems
- Expertise in Python, Qiskit, Cirq, or equivalent quantum programming frameworks
- Proven track record of publishing in quantum/AI research domains
- Experience leading cross-functional technical teams
- Deep understanding of quantum annealing, superconducting qubits, or photonic computing
- Strong background in linear algebra, probability theory, and computational complexity