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Quantum Computing Research Scientist

NexGen Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join NexGen Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We seek a visionary Research Scientist to develop next-gen quantum algorithms and solve previously unsolvable computational challenges. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Silicon Valley facility, working on projects that will redefine industries from medicine to cryptography.

What You'll Achieve:

Lead breakthrough quantum research initiatives, publish in top-tier journals, and contribute to patent portfolios that will shape the future of computing. Your work directly impacts our roadmap for achieving quantum supremacy by 2026.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols for scalable quantum systems
  • Collaborate with hardware teams to bridge theoretical models with practical implementations
  • Lead cross-functional research initiatives targeting 2026 quantum milestones
  • Publish findings in leading scientific journals and present at global conferences
  • Mentor junior researchers and drive quantum literacy initiatives

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Proven track record of developing quantum algorithms with real-world applications
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Expertise in machine learning and its intersection with quantum computing
  • Strong publication record in quantum information science
  • Ability to secure competitive research funding

Required Skills

Quantum Computing Algorithm Development Qiskit Cirq Quantum Error Correction Machine Learning Theoretical Physics Research Methodology Scientific Publishing

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