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Quantum AI Research Scientist 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer breakthroughs that will define the next decade. Our Quantum AI Research Scientist 2026 role is a rare opportunity to shape humanity's digital future by developing hybrid quantum-classical systems that will revolutionize computing, cryptography, and artificial intelligence. You'll collaborate with Nobel laureates and Turing Award winners in our state-of-the-art facility overlooking the San Francisco Bay, where innovation isn't just encouraged—it's our DNA.

We offer unparalleled resources, including access to IBM's quantum cloud network, NVIDIA's latest GPU clusters, and an annual innovation budget of $50,000 for personal research initiatives. This isn't just a job—it's your chance to leave an indelible mark on technological history while enjoying world-class benefits, unlimited PTO, and flexible remote work options.

Responsibilities

  • Lead R&D on quantum machine learning algorithms for next-gen AI systems
  • Design and implement hybrid quantum-classical architectures for real-world applications
  • Collaborate with government agencies on post-quantum cryptography standards
  • Publish groundbreaking research in top-tier journals and industry whitepapers
  • Mentor PhD candidates in our Future Fellows program
  • Develop patents for quantum computing innovations with commercial potential
  • Present findings at global tech summits including Web Summit and CES

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Computer Science
  • 5+ years experience with quantum programming languages (Qiskit, Cirq)
  • Published research in quantum machine learning or quantum algorithms
  • Expertise in tensor networks and quantum error correction
  • Strong background in Python, TensorFlow/PyTorch, and CUDA
  • Experience with quantum hardware platforms (Rigetti, IonQ, D-Wave)
  • Proven track record of translating theoretical concepts to practical applications

Required Skills

Quantum Computing Machine Learning Cryptography Python TensorFlow Qiskit Cirq CUDA Theoretical Physics

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