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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 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 a visionary Quantum Computing Research Scientist to develop next-generation quantum algorithms and hardware architectures that will redefine computational possibilities. Our multidisciplinary team collaborates with Fortune 500 partners to solve previously unsolvable challenges in cryptography, material science, and AI optimization.

This role offers unparalleled access to our state-of-the-art quantum lab, competitive equity packages, and the opportunity to shape the technological landscape of the next decade. If you're passionate about pushing the boundaries of physics and computer science, this is your moment to make history.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop quantum error correction protocols for fault-tolerant computing systems
  • Collaborate with hardware teams to prototype quantum processor architectures
  • Lead research initiatives in quantum machine learning applications
  • Publish breakthrough findings in leading scientific journals and conferences
  • Mentor junior researchers and cross-functional engineering teams

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra, probability theory, and computational complexity
  • Proven track record of peer-reviewed publications in quantum computing
  • Experience with superconducting or trapped-ion quantum hardware

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Fault Tolerance Quantum Machine Learning Theoretical Physics High-Performance Computing

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