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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and architectures that will redefine computational boundaries. This role offers unparalleled access to our state-of-the-art quantum annealing systems and collaborative environment with Nobel laureates. You'll contribute to breakthroughs in cryptography, AI optimization, and molecular simulation while shaping the future of human-machine symbiosis. We provide comprehensive benefits including equity, flexible remote work options, and dedicated R&D funding.

Responsibilities

  • Design and implement novel quantum algorithms for practical industrial applications
  • Lead cross-functional teams in prototyping quantum-classical hybrid systems
  • Publish groundbreaking research in top-tier journals and conferences
  • Collaborate with hardware engineers to optimize qubit coherence and error correction
  • Develop patentable methodologies for quantum machine learning integration
  • Mentor junior researchers and contribute to our open-source quantum toolkit

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published research in quantum information theory or quantum algorithms
  • Expertise in linear algebra, probability theory, and computational complexity
  • Proficiency in Python, C++, and high-performance computing environments
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Strong problem-solving skills with ability to tackle undefined technical challenges

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Cryptography Machine Learning High-Performance Computing Python C++ Research Methodology

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