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Research & Development 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum computing solutions. Our interdisciplinary team is building the computational frameworks that will redefine industries by 2026, from drug discovery to climate modeling. This role offers unparalleled opportunity to shape humanity's digital future while working alongside Nobel laureates and industry disruptors in our state-of-the-art San Francisco innovation hub.

We offer competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements. Our benefits include comprehensive health coverage, 401(k) matching, and dedicated innovation time for personal projects.

Responsibilities

  • Lead R&D initiatives in quantum error correction and qubit stability
  • Develop novel algorithms for quantum machine learning applications
  • Collaborate with hardware teams to optimize quantum processor architectures
  • Publish breakthrough research in top-tier scientific journals
  • Secure $5M+ in government and private research grants
  • Mentor junior scientists and cross-functional engineering teams
  • Drive commercialization of quantum computing prototypes

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum specialization
  • 3+ years experience with quantum programming frameworks (Qiskit, Cirq)
  • Publication record in Nature/Science or equivalent tier journals
  • Expertise in quantum error correction and fault tolerance
  • Proficiency in Python, C++, and low-level quantum hardware interfaces
  • Experience with cloud quantum platforms (IBM Quantum, AWS Braket)
  • Demonstrated ability to translate theoretical models to practical implementations

Required Skills

Quantum Computing Machine Learning Algorithm Development Research Methodology Scientific Publication Quantum Hardware High-Performance Computing

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