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Quantum Computing Research Scientist (2026)

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-generation algorithms, optimize quantum systems, and solve previously unsolvable computational challenges. This role offers unparalleled opportunities to shape the future of technology in our state-of-the-art San Francisco lab.

As part of our elite research team, you'll collaborate with Nobel laureates and industry pioneers to push the boundaries of quantum mechanics and computational theory. We provide competitive compensation, flexible work arrangements, and access to cutting-edge quantum hardware.

Responsibilities

  • Design and implement novel quantum algorithms for complex problem-solving
  • Optimize qubit coherence times and error correction protocols
  • Lead cross-functional teams in developing quantum software frameworks
  • Publish breakthrough research in peer-reviewed journals and conferences
  • Collaborate with hardware teams to prototype quantum processors
  • Secure federal and private research grants for quantum initiatives
  • Mentor junior researchers in quantum computing methodologies

Qualifications

  • PhD in Physics, Computer Science, or related quantum field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Publication record in top-tier quantum computing journals
  • Expertise in quantum error correction and fault-tolerant systems
  • Strong background in linear algebra and quantum mechanics
  • Experience with high-performance computing environments

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Error Correction Fault-Tolerant Systems Linear Algebra Quantum Mechanics Research Python High-Performance Computing

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