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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of computational revolution as we pioneer quantum systems for 2026 and beyond. We seek a visionary Quantum Computing Researcher to develop next-generation algorithms and architectures that will redefine global technology. Collaborate with Nobel laureates and industry pioneers in our state-of-the-art facility, where your work could unlock breakthroughs in cryptography, material science, and artificial intelligence.

We offer unparalleled resources including access to 100+ qubit processors, dedicated research budgets, and opportunities to publish in top-tier journals. Our culture celebrates bold experimentation and intellectual curiosity, with flexible arrangements and comprehensive benefits including equity and wellness stipends.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems
  • Develop error correction protocols for fault-tolerant quantum systems
  • Lead cross-functional research teams to prototype quantum applications
  • Collaborate with hardware teams to bridge software-hardware integration
  • Publish peer-reviewed research and present at international conferences
  • Secure federal and private research grants for advanced projects

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of experience with quantum programming (Qiskit, Cirq, or Q#)
  • Expertise in quantum error correction and fault tolerance techniques
  • Strong background in linear algebra, probability theory, and algorithm design
  • Published research in quantum information science or related domains
  • Experience with high-performance computing and parallel processing

Required Skills

Quantum Computing Algorithm Design Error Correction Qiskit Cirq Quantum Cryptography High-Performance Computing Machine Learning

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