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Quantum Computing Research Scientist

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 140.000 – USD 200.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Innovations Inc. at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-generation algorithms and architectures that will redefine computational possibilities. Our state-of-the-art lab in San Francisco offers unparalleled resources for breakthrough research in quantum supremacy, error correction, and practical quantum applications.

Why Nexus Innovations? As an industry leader in emerging technologies, we provide 401(k) matching, comprehensive health benefits, equity grants, and unlimited learning stipends. Our culture celebrates intellectual curiosity and collaborative innovation.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead research in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to co-design quantum processors
  • Publish peer-reviewed research in top-tier scientific journals
  • Develop quantum software frameworks for commercial applications
  • Mentor junior researchers and cross-functional engineering teams
  • Secure external funding through NSF and DARPA grants

Qualifications

  • PhD in Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing research experience
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong publication record in quantum information science
  • Proficiency in high-performance computing environments
  • Deep understanding of quantum mechanics principles
  • Experience with quantum hardware platforms (IBM Q, Rigetti, or IonQ)
  • Excellent written and verbal communication skills

Required Skills

Quantum Computing Algorithm Design Error Correction Qiskit Cirq High-Performance Computing Quantum Hardware Machine Learning Scientific Research

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