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Information Technology 🏢 Full Time ⭐️ Verified

2026 Quantum AI Research Scientist

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

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum AI for 2026. We're seeking visionary researchers to develop next-generation algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative opportunities to shape the future of artificial intelligence.

As a key member of our elite research team, you'll work on cutting-edge projects with implications for healthcare, climate modeling, and autonomous systems. We offer competitive compensation, flexible work arrangements, and comprehensive benefits including equity in our rapidly growing unicorn startup.

Responsibilities

  • Lead quantum machine learning algorithm development for 2026-era computational challenges
  • Design and implement hybrid quantum-classical neural network architectures
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish groundbreaking research in top-tier journals and conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Secure patents for proprietary quantum AI methodologies
  • Develop ethical frameworks for next-gen autonomous AI systems

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in Python, TensorFlow, and quantum programming languages (Q#, Qiskit)
  • Publication record in quantum AI or computational physics
  • Deep understanding of quantum error correction and fault tolerance
  • Proven ability to translate complex theoretical concepts into practical implementations
  • Experience with high-performance computing environments

Required Skills

Quantum Computing Machine Learning Python TensorFlow Qiskit Q# Neural Networks Algorithm Design Research

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