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Quantum AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum computing and artificial intelligence. We seek visionary researchers to develop next-generation systems that will redefine humanity's digital future. Our interdisciplinary team operates at the intersection of quantum mechanics, machine learning, and distributed systems to solve challenges previously deemed impossible.

As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco facility. We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements designed for peak innovation. This role represents a rare opportunity to shape the technological landscape of 2026 and beyond.

Responsibilities

  • Design and implement quantum algorithms for machine learning optimization
  • Lead cross-functional projects integrating quantum processors with classical AI frameworks
  • Develop error-correction protocols for quantum neural networks
  • Publish groundbreaking research in top-tier scientific journals
  • Mentor junior researchers and contribute to patent development
  • Collaborate with hardware teams to co-design next-generation quantum processors
  • Present findings at international conferences and industry summits

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Publication record in quantum machine learning or related fields
  • Expertise in Python, TensorFlow/PyTorch, and high-performance computing
  • Deep understanding of quantum error correction and fault tolerance
  • Strong background in distributed systems and cloud architectures
  • Track record of translating theoretical concepts into practical implementations

Required Skills

Quantum Computing Machine Learning Python TensorFlow Qiskit Distributed Systems Quantum Error Correction High-Performance Computing Cirq Q# Cloud Architecture Research Methodology

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