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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-gen algorithms and hardware prototypes that will redefine computational boundaries. Work in our state-of-the-art facility with industry-leading physicists and engineers to solve complex problems in cryptography, material science, and AI optimization. This role offers unparalleled opportunities to shape the future of technology through cutting-edge research and collaborative innovation.

Responsibilities

  • Design and implement quantum algorithms for practical applications in machine learning and optimization
  • Develop error-correction protocols for scalable quantum systems
  • Collaborate with hardware engineers to prototype quantum processors operating at near-absolute zero
  • Lead cross-functional teams in translating theoretical models into experimental prototypes
  • Publish breakthrough research in top-tier scientific journals and conferences
  • Secure federal and private funding for quantum computing initiatives
  • Mentor junior researchers in quantum information theory

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum specialization
  • 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq)
  • Published research in quantum error correction or fault-tolerant computing
  • Expertise in quantum annealing and superconducting qubit architectures
  • Strong background in linear algebra, probability theory, and quantum mechanics
  • Experience with cryogenic systems and RF engineering for quantum hardware
  • Proven track record of securing R&D grants from DARPA or NSF

Required Skills

Quantum Computing Quantum Algorithms Cryogenics Superconducting Qubits Error Correction Qiskit Cirq Machine Learning Cryptography

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