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Quantum Computing Research Lead

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

Job Description

Join Nexus Labs at the forefront of 2026's quantum revolution! We're seeking a visionary Quantum Computing Research Lead to pioneer breakthroughs that will redefine computational boundaries. As a key architect of our 2026 roadmap, you'll lead a world-class team in developing next-gen quantum algorithms and error-correction protocols. Our state-of-the-art facility offers unparalleled resources to accelerate your research into practical applications across cryptography, materials science, and AI optimization. This is your opportunity to shape the technological landscape of tomorrow.

Responsibilities

  • Design and execute quantum computing research initiatives aligned with 2026 technological milestones
  • Lead cross-functional teams of physicists and software engineers in quantum algorithm development
  • Establish industry partnerships for real-world quantum application testing and deployment
  • Secure $5M+ annual research funding through NIH/NSF grants and corporate collaborations
  • Author breakthrough publications in Nature/Science journals and present at IEEE Quantum Week
  • Oversee quantum hardware integration with classical computing systems
  • Mentor PhD researchers in quantum information theory and experimental methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 8+ years industry experience
  • Published record in top-tier quantum computing journals (Nature, PRL, etc.)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Proven track record of securing $3M+ in government research grants
  • Deep knowledge of quantum machine learning and optimization algorithms
  • Experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
  • Strong background in cryogenic quantum systems and superconducting qubits

Required Skills

Quantum Computing Quantum Algorithms Cryogenic Systems Fault-Tolerant Architectures Qiskit Cirq Machine Learning Grant Writing Research Leadership

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