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Quantum Computing Researcher

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer breakthroughs that will define 2026 and beyond. Our multidisciplinary team is developing next-generation quantum computing solutions to solve humanity's most complex challenges. We seek visionary researchers who thrive at the intersection of physics, computer science, and artificial intelligence to shape the future of computation.

This role offers unparalleled resources, collaboration with Nobel laureates, and the opportunity to publish groundbreaking research in top-tier journals. Our state-of-the-art facility in San Francisco provides an inspiring environment where innovation meets impact.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Lead experimental research on qubit stability and error correction techniques
  • Collaborate with AI teams to develop hybrid quantum-classical machine learning models
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure patents for novel quantum computing architectures and methodologies
  • Mentor junior researchers and contribute to lab's strategic roadmap
  • Partner with industry leaders to commercialize quantum applications

Qualifications

  • PhD in Physics, Computer Science, or related quantitative field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Publication record in quantum information science or equivalent contributions
  • Deep understanding of quantum error correction protocols
  • Strong background in machine learning and high-performance computing
  • Ability to secure research funding through grant applications
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Quantum Algorithms Machine Learning High-Performance Computing Qiskit Q# Cirq Research Methodology Patent Development

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