Job Description
Join Nexus Labs at the frontier of computational intelligence. We're pioneering quantum-enhanced AI systems that will redefine technological capabilities by 2026. This role offers unparalleled opportunity to collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin research facility.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical neural networks optimized for edge devices
- Lead cross-functional teams in prototyping next-gen autonomous systems
- Publish breakthrough research in top-tier journals and conferences
- Secure government and industry partnerships for technology deployment
- Mentor PhD candidates in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or related field (exceptional MS candidates with 5+ years experience considered)
- Published research in quantum algorithms or quantum machine learning
- Proficiency in Qiskit, Cirq, and quantum circuit optimization
- Expertise in Python, TensorFlow, and high-performance computing
- Experience with quantum error correction protocols
- Strong background in tensor networks and variational quantum eigensolvers
- Track record of translating theoretical research into commercial applications