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Quantum AI Research Scientist 2026

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

Job Description

Join Nexus Futura Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026 and beyond. We're seeking visionary researchers to develop groundbreaking solutions that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to accelerate your breakthroughs in quantum machine learning, cryptography, and autonomous systems.

As part of our elite research division, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. We offer competitive compensation, flexible work arrangements, and comprehensive benefits including equity in our groundbreaking ventures.

Responsibilities

  • Design and implement quantum neural network architectures for 2026-era applications
  • Lead cross-functional teams in developing hybrid quantum-classical AI systems
  • Publish groundbreaking research in top-tier journals and conferences
  • Collaborate with hardware engineers to optimize quantum algorithm implementations
  • Develop novel encryption protocols for post-quantum cybersecurity frameworks
  • Mentor junior researchers and drive innovation through technical workshops
  • Secure $2M+ in annual research funding through grant proposals

Qualifications

  • PhD in Quantum Computing, AI, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Publication record in Nature/Science or top-tier ML conferences
  • Expertise in Python, Qiskit, and TensorFlow Quantum frameworks
  • Deep understanding of quantum error correction and fault tolerance
  • Proven track record of securing competitive research grants
  • Experience mentoring postgraduate researchers in technical domains

Required Skills

Quantum Computing Machine Learning Python Qiskit TensorFlow Quantum Cryptography Neural Networks Research Methodology

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