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2026 Quantum AI Researcher

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum-AI convergence for 2026. We're seeking a visionary Quantum AI Researcher to architect next-generation computational frameworks that will redefine industries. This role offers unparalleled opportunity to shape the future of artificial intelligence and quantum computing in a collaborative, cutting-edge environment.

As part of our elite Future Technologies division, you'll develop novel algorithms that leverage quantum supremacy to solve previously intractable problems. Your work will directly impact our roadmap for 2026, creating systems that will power autonomous decision-making, molecular simulations, and cryptographic breakthroughs.

Responsibilities

  • Design and implement hybrid quantum-AI algorithms for exponential computational acceleration
  • Lead research initiatives in quantum machine learning and neural network optimization
  • Develop error-correction protocols for fault-tolerant quantum computing systems
  • Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
  • Author breakthrough research papers for premier industry journals and conferences
  • Mentor junior researchers in quantum computing principles and AI architectures
  • Secure and manage research partnerships with leading academic institutions

Qualifications

  • PhD in Quantum Computing, Computer Science, or Physics with 3+ years post-grad research
  • Expertise in quantum algorithms (QAOA, VQE, Grover's) and quantum circuit design
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and AI frameworks (PyTorch, TensorFlow)
  • Published research in quantum machine learning or quantum supremacy demonstrations
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Experience with high-performance computing and parallel processing systems
  • Strong background in linear algebra, probability theory, and computational complexity

Required Skills

Quantum Computing Machine Learning AI Research Qiskit Cirq Quantum Algorithms Error Correction PhD Research High-Performance Computing Theoretical Physics

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