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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of quantum innovation in 2026. We're pioneering next-gen quantum algorithms that will revolutionize cryptography, materials science, and AI. As a key member of our research team, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges. Our state-of-the-art quantum lab features 1000+ qubit processors and offers unparalleled resources for groundbreaking research.

We offer competitive equity packages, flexible remote options, and dedicated R&D budgets. Shape the future of technology with a team that's already achieving quantum supremacy milestones.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Lead cross-functional teams to integrate quantum solutions with classical systems
  • Publish breakthrough research in top-tier journals and conferences
  • Develop error-correction protocols for fault-tolerant quantum computing
  • Collaborate with hardware teams to optimize quantum processor performance
  • Secure patents and intellectual property for quantum innovations
  • Mentor junior researchers in quantum methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Quipper)
  • Published research in quantum computing or quantum information theory
  • Expertise in quantum error correction and fault-tolerance techniques
  • Strong background in linear algebra, probability, and complex analysis
  • Experience with high-performance computing environments

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Fault-Tolerant Computing Quantum Cryptography Linear Algebra High-Performance Computing

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