Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI convergence revolution. We're pioneering next-generation computational frameworks that will redefine global technology paradigms. As a Quantum AI Research Scientist, you'll architect breakthrough solutions in quantum machine learning, developing algorithms that solve previously insurmountable computational challenges. Our Austin campus features state-of-the-art quantum hardware and collaborative AI incubators, where your work will directly shape humanity's technological trajectory.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era computational ecosystems
- Lead cross-disciplinary R&D teams to develop hybrid quantum-classical AI models
- Optimize quantum algorithms for real-world deployment in finance, logistics, and healthcare
- Secure patents for proprietary quantum-AI methodologies with commercialization potential
- Collaborate with MIT and ETH Zurich on quantum error correction protocols
- Author whitepapers influencing IEEE and ACM quantum computing standards
Qualifications
- PhD in Quantum Computing, Machine Learning, or related computational field
- 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Published research in top-tier journals (Nature, Science, or IEEE) on quantum-AI fusion
- Proficiency in high-performance computing environments (HPC, GPU clusters)
- Expertise in tensor networks and quantum circuit optimization
- Deep understanding of 2026-era quantum hardware specifications (e.g., fault-tolerant qubits)
- Track record of translating theoretical models into scalable implementations