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Quantum Computing Research Scientist

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

Job Description

Join Nexus Future Labs at the forefront of technological revolution. We're pioneering quantum computing solutions that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll collaborate with Nobel laureates and disruptors to develop algorithms that solve previously impossible computational challenges. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture where your curiosity fuels innovation.

We provide competitive benefits, flexible work arrangements, and a commitment to your professional growth through our Future Leaders Academy. If you're driven to shape the next technological paradigm, apply now.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop error-correction protocols for scalable quantum systems
  • Collaborate with hardware engineers to translate theoretical models into practical applications
  • Publish research in top-tier journals and present at international conferences
  • Mentor junior researchers and lead cross-functional project teams
  • Secure research funding through federal grants and industry partnerships
  • Contribute to open-source quantum computing frameworks

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum algorithms or quantum error correction
  • Proficiency in high-performance computing environments and parallel programming
  • Strong analytical skills with ability to solve complex mathematical problems
  • Experience with machine learning frameworks applied to quantum systems
  • Excellent communication skills and ability to translate technical concepts for diverse audiences

Required Skills

Quantum Computing Qiskit Cirq Q# Machine Learning High-Performance Computing Algorithm Design Error Correction Python C++ Research Methodology

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