Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next generation of quantum-AI hybrid systems. Our interdisciplinary team is developing revolutionary computational frameworks that will redefine industries by 2026. This role offers unparalleled opportunity to shape the future of machine learning through quantum supremacy.
We're seeking visionary researchers who thrive at the intersection of quantum mechanics, artificial intelligence, and high-performance computing. You'll collaborate with Nobel laureates and industry disruptors in a state-of-the-art facility equipped with D-Wave and IBM quantum processors.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional projects integrating quantum processors with classical AI systems
- Develop error-correction protocols for quantum neural networks
- Publish breakthrough research in top-tier journals and conferences
- Secure $2M+ in research grants from DARPA and NSF
- Mentor PhD candidates in quantum computing principles
- Architect scalable quantum-AI hybrid infrastructure
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum algorithms (QAOA, VQE)
- Proficiency in Qiskit, Cirq, or quantum circuit design
- Publication record in Nature/Science or equivalent
- Expertise in tensor networks and quantum simulation
- Strong Python/C++ skills with parallel computing experience
- Knowledge of quantum error correction codes
- Experience with cloud quantum platforms (AWS Braket, Azure Quantum)