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Quantum AI Researcher 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution! We're seeking a visionary Quantum AI Researcher to pioneer breakthroughs that will redefine the 2026 digital landscape. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop quantum-resistant AI systems that solve humanity's most complex challenges. Our state-of-the-art lab features 500-qubit processors and neural interfaces – where science fiction becomes reality. We offer unparalleled resources, flexible remote work, and a culture where your wildest ideas become funded projects. Shape tomorrow's technology today.

Responsibilities

  • Design and implement quantum algorithms for AI optimization using Qiskit and Cirq frameworks
  • Lead cross-functional teams in developing post-quantum cryptographic systems
  • Publish research in Nature Quantum Computing and IEEE journals
  • Prototype neural-quantum hybrid models for real-world applications
  • Collaborate with neuroscientists to develop brain-compute interfaces
  • Secure $5M+ in DARPA and NSF grant funding for 2026 initiatives
  • Mentor PhD candidates in quantum machine learning

Qualifications

  • PhD in Quantum Computing, AI, or related field (2020-2023 graduates preferred)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Published research in top-tier quantum computing journals
  • Proficiency in Python, TensorFlow Quantum, and quantum circuit optimization
  • Experience with superconducting qubit systems and quantum annealers
  • Demonstrated ability to translate theoretical concepts into scalable prototypes
  • Strong background in differential geometry and topological quantum computing
  • Track record of securing government or corporate research grants

Required Skills

Quantum Computing AI Research Post-Quantum Cryptography Qiskit Cirq TensorFlow Quantum Superconducting Qubits Machine Learning Differential Geometry Grant Writing

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