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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. Our multidisciplinary team is developing next-gen quantum algorithms to revolutionize cryptography, drug discovery, and AI optimization. This role offers unparalleled opportunities to shape the future of computational science while collaborating with Nobel laureates and industry pioneers.

We provide competitive equity packages, unlimited R&D budgets, and access to state-of-the-art quantum hardware. Your work will directly impact breakthroughs that will define the next decade of technological progress.

Responsibilities

  • Design and implement novel quantum algorithms for complex optimization problems
  • Lead cross-functional teams in developing quantum-resistant cryptography frameworks
  • Collaborate with pharmaceutical partners on quantum-enhanced molecular modeling
  • Publish breakthrough research in top-tier journals and conferences
  • Develop quantum machine learning models for AI acceleration
  • Secure government and industry partnerships for quantum deployment
  • Mentor junior researchers in quantum physics and computational theory

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing experience with major platforms
  • Published research in quantum algorithms or quantum information theory
  • Expertise in quantum circuit design and error correction techniques
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in machine learning and high-performance computing
  • Proven track record of securing research grants or industry funding
  • Experience with cryptographic protocol development

Required Skills

Quantum Computing Quantum Algorithms Cryptography Machine Learning Qiskit Q# High-Performance Computing Molecular Modeling

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