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Quantum AI Research Scientist

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

Job Description

Join Nexus Future Labs at the forefront of technological evolution. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges by 2026. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that redefine computational boundaries in cryptography, drug discovery, and climate modeling. Our state-of-the-art facility in downtown San Francisco offers unparalleled resources, including a 512-qubit quantum processor and dedicated AI supercomputing clusters. Collaborate with Nobel laureates and disrupt industry paradigms while shaping the technological landscape of tomorrow.

Responsibilities

  • Design and implement quantum machine learning algorithms for exponential speedup in AI training
  • Develop hybrid quantum-classical neural networks for real-time decision-making systems
  • Lead research initiatives in quantum-resistant cryptography for secure 2026-era communications
  • Optimize quantum error correction protocols for fault-tolerant AI computations
  • Publish breakthrough research in top-tier journals (Nature, Science, etc.)
  • Collaborate with hardware teams to co-design quantum-AI accelerators
  • Present findings at international conferences and patent key innovations

Qualifications

  • PhD in Quantum Computing, AI, or related field with 3+ years industry experience
  • Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum machine learning
  • Proficiency in quantum programming languages (Qiskit, Cirq, PennyLane)
  • Deep knowledge of advanced neural architectures and distributed computing
  • Published record in quantum-AI research or equivalent industry impact
  • Experience with high-performance computing (HPC) frameworks
  • Strong background in linear algebra, probability theory, and computational complexity

Required Skills

Quantum Computing Machine Learning Python TensorFlow PyTorch Qiskit Cirq HPC Cryptography Neural Networks

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