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Quantum Computing Research Scientist

Nexus Quantum Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Quantum Solutions at the forefront of technological revolution! We're seeking a visionary Quantum Computing Research Scientist to pioneer breakthroughs that will redefine 2026's digital landscape. In this pivotal role, you'll develop quantum algorithms, optimize qubit stability, and collaborate with Nobel laureates to solve humanity's most complex challenges. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture where curiosity fuels innovation. Enjoy flexible schedules, wellness stipends, and equity in a company valued at $2B+. Shape the future of computing—apply today!

Responsibilities

  • Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead qubit stability research and error-correction protocol development
  • Collaborate with cross-functional teams to integrate quantum solutions with classical systems
  • Publish high-impact research in peer-reviewed journals and industry conferences
  • Mentor junior researchers and drive quantum literacy initiatives
  • Secure and manage research grants from NSF and DARPA
  • Contribute to open-source quantum computing frameworks

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing research experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Published work in quantum algorithm development or error correction
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with cryogenic systems and quantum hardware integration
  • Proven ability to secure research funding
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Qiskit Q# Error Correction Quantum Algorithms Cryogenic Systems Research Methodology Machine Learning

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