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Quantum Computing Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary research scientists to develop breakthrough quantum algorithms and systems that will redefine computational paradigms. Work alongside Nobel laureates in our state-of-the-art San Francisco lab, where your innovations will directly shape humanity's digital future.

This role offers unparalleled resources, competitive equity packages, and the opportunity to publish groundbreaking research in top-tier journals. If you're passionate about solving humanity's most complex problems through quantum mechanics, we want you on our team.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error correction protocols to achieve fault-tolerant quantum computing
  • Collaborate with hardware teams to integrate quantum processors with classical systems
  • Lead cross-functional research initiatives on quantum cryptography and secure communications
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure external funding through NSF and DARPA grant applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum error correction and fault-tolerant architectures
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Publication record in quantum computing or theoretical physics
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with high-performance computing environments

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Q# Machine Learning Cryptography High-Performance Computing

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