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 Scientist, you'll design next-gen algorithms that redefine computational boundaries in our Austin innovation hub. Our multidisciplinary team operates in state-of-the-art labs with access to quantum processors and petascale AI infrastructure.
Why Nexus Quantum? We offer equity participation, unlimited PTO, and a $15K annual learning stipend. Work directly with Nobel laureates while contributing to breakthroughs in drug discovery, climate modeling, and cryptographic security.
Responsibilities
- Develop hybrid quantum-classical machine learning models for 2026-era applications
- Lead research in fault-tolerant quantum algorithms for AI acceleration
- Collaborate with hardware engineers to optimize quantum-AI system integration
- Publish breakthrough research in top-tier journals and industry conferences
- Secure $2M+ in annual research grants from NSF and DARPA
- Mentor PhD fellows in quantum-AI cross-disciplinary methodologies
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent experience)
- 3+ years implementing quantum algorithms on real hardware
- Expertise in quantum machine learning frameworks (e.g., Qiskit, PennyLane)
- Publication record in Nature/Science or top-tier ML conferences
- Proficiency in Python, C++, and quantum circuit optimization
- Deep understanding of quantum error correction techniques
- Experience with high-performance computing environments