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2026 Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Our 2026 Quantum AI Research Scientist will lead transformative projects shaping humanity's next computational frontier. You'll collaborate with Nobel laureates and industry disruptors to develop scalable quantum algorithms, design fault-tolerant AI systems, and publish groundbreaking research in top-tier journals. This role offers unparalleled resources including access to our 1000-qubit quantum processor and dedicated AI supercomputing cluster. We're seeking visionaries who thrive at the bleeding edge of innovation.

Responsibilities

  • Design and implement quantum machine learning algorithms for 2026-era computational challenges
  • Lead cross-functional teams in developing hybrid quantum-classical AI systems
  • Author peer-reviewed research publications in Nature/Science journals
  • Architect fault-tolerant quantum neural networks with >99.9% fidelity
  • Secure $10M+ in government/private research grants for quantum AI initiatives
  • Mentor PhD researchers in quantum information theory and AI ethics
  • Develop patentable quantum encryption protocols for post-quantum security

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Physics with 3+ years industry experience
  • Published research in quantum AI or top-tier ML conferences (NeurIPS, ICML)
  • Expertise in quantum circuit design using Qiskit/Cirq and PyTorch/TensorFlow
  • Proficiency in quantum error correction and fault-tolerant architectures
  • Experience securing federal grants (NSF, DOE, DARPA)
  • Deep understanding of quantum advantage benchmarks and NISQ limitations
  • Strong background in high-performance computing (HPC) and distributed systems

Required Skills

Quantum Computing Machine Learning Python Qiskit PyTorch Quantum Algorithms Fault-Tolerant Systems HPC Research Methodology Grant Writing

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