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Research & Development 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll design next-gen algorithms, collaborate with Nobel laureates, and shape the future of computational intelligence. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture where breakthroughs are daily occurrences. If you're passionate about pushing beyond theoretical boundaries and creating tangible impact, this is your moment.

Responsibilities

  • Develop novel quantum machine learning algorithms for optimization and pattern recognition
  • Lead cross-functional teams in prototyping quantum neural networks
  • Author peer-reviewed publications for Nature Quantum and IEEE journals
  • Collaborate with hardware engineers to validate quantum AI implementations
  • Secure federal grants for quantum AI research initiatives
  • Mentor postdoctoral researchers in quantum computing methodologies
  • Translate theoretical models into scalable quantum software solutions

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Published research in quantum machine learning or quantum information theory
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra, probability, and quantum mechanics
  • Demonstrated ability to secure research funding (> $1M in grants)
  • Experience with high-performance computing architectures

Required Skills

Quantum Computing Machine Learning Python Qiskit Cirq Quantum Algorithms Neural Networks Research Scientific Publishing High-Performance Computing

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