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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Research Scientists to develop next-gen quantum algorithms and applications that will redefine industries. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking research in a collaborative, future-focused environment.

Why Nexus Labs?

  • Lead projects with global impact on healthcare, finance, and AI
  • Access to quantum hardware partnerships with industry leaders
  • Competitive equity package and professional development stipend
  • Flexible work arrangements with dedicated research time

Responsibilities

  • Design and implement novel quantum algorithms for practical applications
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish research in peer-reviewed journals and present at international conferences
  • Develop quantum error correction protocols for scalable systems
  • Mentor junior researchers and cross-functional engineering teams
  • Secure research funding through grant applications and industry partnerships
  • Stay current with emerging quantum technologies and threat landscapes

Qualifications

  • PhD in Physics, Computer Science, or related quantitative field
  • 3+ years experience with quantum computing frameworks (Qiskit, Cirq, or Q#)
  • Strong publication record in quantum information science
  • Proficiency in Python, C++, and high-performance computing
  • Demonstrated expertise in quantum algorithms or error correction
  • Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
  • Ability to translate complex concepts for technical and non-technical audiences

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Python High-Performance Computing Error Correction Machine Learning

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