Job Description
Join Nexus Quantum Labs at the forefront of technological evolution in 2026. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, where breakthroughs become reality.
Our team operates at the bleeding edge of quantum machine learning, developing algorithms that defy classical computational limits. You'll access unprecedented resources including 1000-qubit processors, exascale supercomputing clusters, and dedicated quantum annealing hardware. This role offers patent ownership opportunities and quarterly innovation retreats in global tech capitals.
Responsibilities
- Design and implement quantum neural networks for advanced pattern recognition
- Develop hybrid quantum-classical machine learning frameworks
- Lead research initiatives in quantum error correction optimization
- Collaborate with hardware teams to co-design quantum processors
- Publish findings in Nature/Science journals and present at IEEE Quantum Week
- Secure $1M+ in annual research funding through grant proposals
- Mentor PhD candidates in quantum algorithm development
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years developing quantum algorithms with demonstrated real-world applications
- Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
- Published research in quantum machine learning or quantum information theory
- Proficiency in Python/C++ with quantum simulation libraries
- Experience with high-performance computing architectures
- Strong background in linear algebra and quantum mechanics
- Track record of securing research grants or patents