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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer the next wave of quantum computing breakthroughs. We're seeking visionary Quantum Computing Research Scientists to design and implement scalable quantum algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to collaborate with Nobel laureates and shape the future of artificial intelligence, cryptography, and materials science.

Why Nexus Labs?
• State-of-the-art quantum research facilities
• Annual innovation budget of $50M+ for experimental projects
• Flexible remote/hybrid work policy with quarterly in-person summits
• Comprehensive benefits including equity and tuition reimbursement

Responsibilities

  • Develop novel quantum algorithms for optimization and machine learning applications
  • Design and execute fault-tolerant quantum circuit architectures
  • Lead cross-functional teams of physicists and software engineers
  • Publish breakthrough research in top-tier journals (Nature/Science)
  • Secure federal research grants and industry partnerships
  • Contribute to open-source quantum computing frameworks
  • Mentor junior researchers and PhD candidates

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong publication record in quantum computing research
  • Deep understanding of quantum error correction techniques
  • Experience with quantum hardware platforms (IBM, Rigetti, IonQ)
  • Excellent problem-solving and mathematical modeling skills
  • Ability to translate complex concepts into actionable research plans

Required Skills

Quantum Computing Algorithm Design Quantum Programming Fault Tolerance Research Methodology Machine Learning Cryptography High-Performance Computing

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