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Quantum Computing Research Scientist

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

Job Description

Join Nexus Innovations at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco lab, contributing to breakthroughs in cryptography, drug discovery, and artificial intelligence. We offer unparalleled resources, flexible work arrangements, and a culture that celebrates intellectual curiosity.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems
  • Lead research initiatives in quantum error correction and fault tolerance
  • Collaborate with hardware teams to develop quantum software stacks
  • Publish peer-reviewed papers and present findings at global conferences
  • Mentor junior researchers and drive quantum computing education initiatives
  • Secure research grants and partnerships with academic institutions
  • Translate theoretical concepts into practical quantum applications

Qualifications

  • PhD in Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong background in quantum mechanics and linear algebra
  • Demonstrated track record of published quantum computing research
  • Experience with quantum simulation tools and cloud quantum platforms
  • Excellent problem-solving skills and ability to work in cross-functional teams
  • Passion for advancing quantum technologies and their real-world applications

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Q# Quantum Mechanics Linear Algebra Cryptography Machine Learning Research

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