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Quantum Computing Research Scientist

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

Job Description

Shape the future of technology with Nexus Labs' Quantum Computing Research Scientist role in San Francisco. As we approach 2026, we're pioneering breakthroughs in quantum algorithms that will redefine computational boundaries. Join our elite team to develop next-gen quantum solutions for cryptography, optimization, and machine learning challenges.

We offer a collaborative environment with state-of-the-art quantum hardware, competitive compensation, and opportunities to publish groundbreaking research. Ideal candidates thrive at the intersection of theoretical physics and applied computer science, driving innovations that will define the next decade of technology.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational problems
  • Collaborate with physicists and engineers to optimize quantum circuit architectures
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Develop hybrid quantum-classical machine learning frameworks
  • Publish peer-reviewed research in top-tier scientific journals
  • Secure and manage research grants from federal and private sources
  • Mentor junior researchers and contribute to quantum education initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in linear algebra, probability theory, and computational complexity
  • Publication record in quantum computing or theoretical physics
  • Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
  • Expertise in machine learning frameworks (TensorFlow, PyTorch)
  • Excellent written and verbal communication skills

Required Skills

Quantum Computing Algorithm Design Quantum Programming Machine Learning Cryptography Theoretical Physics Research Qiskit

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