Job Description
Join Nexus Quantum Systems 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 a Quantum AI Research Engineer, you'll architect next-generation algorithms that transcend classical computing limitations. Our Austin-based lab offers unparalleled resources including 128-qubit processors and dedicated quantum annealing clusters. Collaborate with Nobel laureates and industry disruptors in an environment where curiosity drives breakthroughs. We provide comprehensive benefits including equity, relocation assistance, and continuous learning stipends.
Responsibilities
- Design and implement quantum machine learning models leveraging 2026-era quantum hardware
- Develop hybrid quantum-classical neural networks for autonomous systems
- Optimize quantum algorithms for error correction and fault tolerance
- Lead cross-functional R&D projects with physics, materials science, and software engineering teams
- Translate theoretical quantum computing concepts into production-ready solutions
- Publish findings in peer-reviewed journals and present at international conferences
- Mentor junior researchers in quantum programming paradigms
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (MS with exceptional experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Proficiency in Python, C++, and quantum assembly languages
- Deep understanding of quantum error correction and topological qubits
- Published research in quantum machine learning or quantum information theory
- Experience with high-performance computing clusters and GPU acceleration
- Strong background in linear algebra, probability theory, and quantum mechanics
- Ability to thrive in ambiguous research environments with rapid iteration cycles