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Quantum Computing Researcher (2026 Vision)

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

Job Description

Join Nexus Labs at the forefront of technological evolution. We're seeking a visionary Quantum Computing Researcher to pioneer breakthroughs that will define 2026's digital landscape. As a key member of our Innovation Division, you'll collaborate with Nobel laureates and industry disruptors to develop quantum algorithms that solve previously impossible challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources, including a 128-qubit quantum processor and dedicated AI-assisted research platforms. This role includes competitive equity, flexible remote options, and participation in our patent program.

Responsibilities

  • Design and implement novel quantum algorithms for cryptography and optimization problems
  • Lead cross-functional R&D teams to prototype next-gen quantum hardware interfaces
  • Develop error-correction methodologies scalable to 2026 quantum computing standards
  • Author peer-reviewed publications and present findings at international conferences
  • Collaborate with AI specialists to create hybrid quantum-classical computing frameworks
  • Secure $2M+ annual research funding through strategic grant proposals

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or similar)
  • Published research in Nature/Science journals or top-tier conference proceedings
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong background in machine learning and high-performance computing
  • Proven track record of translating theoretical concepts into practical applications
  • Security clearance eligibility for government-funded projects

Required Skills

Quantum Computing Qiskit Cryptography Machine Learning Fault-Tolerant Systems High-Performance Computing Research Methodology AI Integration

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