Job Description
Join Nexus Labs at the forefront of quantum-AI convergence to redefine computational boundaries. We're pioneering hybrid quantum-neural systems for climate modeling and drug discovery. Our multidisciplinary team collaborates in a state-of-the-art facility with access to 128-qubit processors and petabyte-scale datasets.
Responsibilities
- Design and implement quantum algorithms for machine learning acceleration
- Develop error correction protocols for quantum neural networks
- Lead cross-functional prototyping of quantum-AI hybrid systems
- Publish breakthrough research in Nature/Science journals
- Secure $5M+ in government/industry grants
- Mentor PhD candidates in quantum machine learning
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum programming frameworks (Qiskit/Cirq)
- Published research in quantum machine learning
- Expertise in tensor network simulations
- Proficiency in Python/C++ with HPC optimization
- Strong background in topology or condensed matter physics