Job Description
Join Nexus Quantum Labs 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 architect next-generation algorithms that push beyond classical computing limits. Our multidisciplinary team operates in a state-of-the-art facility with access to D-Wave quantum processors and NVIDIA's latest AI accelerators. This role offers unparalleled opportunity to shape the future of computational science while collaborating with Nobel laureates and industry pioneers.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks for optimization problems
- Develop error-correction protocols for quantum neural networks
- Lead cross-functional research in quantum natural language processing
- Publish breakthrough findings in top-tier journals and conferences
- Collaborate with hardware teams to co-design quantum-AI interfaces
- Secure $2M+ in research grants from NSF and DARPA
- Mentor PhD candidates in quantum machine learning
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of hands-on experience with quantum algorithms (QAOA, VQE)
- Publication record in Nature/Science or equivalent tier journals
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Expertise in tensor networks and quantum circuit optimization
- Demonstrated ability to secure federal research funding
- Experience with large-scale distributed computing systems
- Strong background in differential geometry and algebraic topology