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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of computational revolution as we pioneer quantum solutions that will redefine 2026's technological landscape. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and hardware prototypes that will solve previously impossible challenges in cryptography, materials science, and artificial intelligence.

As part of our elite Future Technologies Division, you'll collaborate with Nobel laureates and industry disruptors in a state-of-the-art facility overlooking the Bay. This role offers unparalleled resources—including access to our 512-qubit quantum processor—and the opportunity to shape humanity's computational future.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Lead cross-functional teams in prototyping quantum hardware systems
  • Develop error-correction techniques for fault-tolerant quantum computing
  • Publish groundbreaking research in top-tier journals and conferences
  • Secure federal and private funding for quantum research initiatives
  • Mentor PhD candidates and junior researchers in quantum methodologies
  • Partner with industry leaders to commercialize quantum breakthroughs

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years of hands-on quantum algorithm development experience
  • Published research in quantum information theory or quantum hardware
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Expertise in quantum error correction and fault-tolerant systems
  • Strong background in linear algebra and quantum mechanics
  • Demonstrated ability to secure competitive research funding
  • Experience mentoring quantum research teams

Required Skills

Quantum Computing Qiskit Cirq Q# Quantum Algorithms Quantum Error Correction Fault-Tolerant Systems Quantum Hardware Cryptography Machine Learning

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