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Quantum AI Research Scientist - 2026 Visionary

NeuroTech Innovations
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the future with NeuroTech Innovations, a leader in next-generation AI and quantum computing. We're seeking a pioneering Quantum AI Research Scientist to develop breakthrough technologies that will define 2026 and beyond. Join our elite team at our San Francisco headquarters, where you'll collaborate with Nobel laureates and industry disruptors in a state-of-the-art lab environment. This role offers unparalleled opportunities to publish groundbreaking research, secure patents, and influence global tech policy.

What We Offer:

  • Unlimited budget for cutting-edge quantum computing resources
  • Equity package with 4-year vesting schedule
  • Flexible remote-first work model with quarterly in-person innovation sprints
  • $20,000 annual research stipend

Responsibilities

  • Design and implement novel quantum machine learning algorithms for 2026-era applications
  • Lead cross-functional teams in developing prototype quantum neural networks
  • Publish top-tier research in Nature/Science journals and present at global tech conferences
  • Secure federal grants and corporate partnerships for quantum AI initiatives
  • Mentor PhD researchers and patent at least 3 breakthrough methodologies annually
  • Develop ethical frameworks for quantum AI deployment in critical infrastructure

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
  • 5+ years of hands-on experience with quantum programming languages (Q#, Qiskit)
  • Published research in quantum machine learning or AI optimization
  • Expertise in tensor networks and quantum error correction
  • Proven track record of securing research funding ($1M+)
  • Strong background in ethics of advanced AI systems
  • Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)

Required Skills

Quantum Computing Machine Learning Python Q# Qiskit Tensor Networks Research Ethics AI Optimization

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