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2026 Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of quantum computing innovation. We're pioneering next-gen quantum algorithms to solve 2026's most complex challenges in cryptography, materials science, and AI optimization. As part of our elite research team, you'll collaborate with Nobel laureates and develop breakthrough applications that will redefine technological boundaries.

Our state-of-the-art facility in San Francisco offers unparalleled resources for quantum experimentation, including 128-qubit processors and cryogenic computing environments. This role offers competitive equity packages and flexible work arrangements for exceptional candidates.

Responsibilities

  • Design and implement novel quantum algorithms for 2026-era computational problems
  • Lead research projects in quantum error correction and fault-tolerant systems
  • Collaborate with cross-functional teams to integrate quantum solutions with classical computing frameworks
  • Publish findings in top-tier journals and present at international conferences
  • Secure research funding through grant proposals and industry partnerships
  • Mentor junior researchers and contribute to quantum computing curriculum development

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Published work in quantum algorithm development or quantum information theory
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, D-Wave)
  • Strong background in linear algebra, complex analysis, and statistical mechanics
  • Track record of securing research grants or industry partnerships
  • Excellent written and verbal communication skills for technical and non-technical audiences

Required Skills

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

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