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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 revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms, optimize qubit stability, and solve previously impossible computational challenges. Our multidisciplinary team collaborates with NASA, MIT, and IBM to redefine the boundaries of technology.

As a key architect of our quantum roadmap, you'll work in our state-of-the-art San Francisco lab with cutting-edge hardware including 1000+ qubit processors. This role offers unparalleled opportunity to shape the future of AI, cryptography, and materials science while contributing to humanity's most ambitious technological milestones.

Responsibilities

  • Design and implement novel quantum algorithms for machine learning optimization
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to improve qubit coherence times
  • Lead cross-functional research initiatives with academic partners
  • Publish breakthrough findings in Nature/Science journals
  • Translate theoretical models into practical quantum applications
  • Mentor junior researchers in quantum computing principles

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum computing or quantum information theory
  • Deep understanding of quantum decoherence and error correction
  • Experience with superconducting or trapped-ion quantum processors
  • Strong background in linear algebra and quantum mechanics

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Error Correction Superconducting Qubits Quantum Machine Learning Research

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