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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs that will redefine 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-generation algorithms and hardware solutions. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility in San Francisco. This role offers unparalleled opportunities to shape the future of computational science while enjoying competitive compensation and a flexible, innovation-driven work environment.

Responsibilities

  • Design and implement quantum algorithms for cryptography, optimization, and machine learning applications
  • Lead experimental research on quantum error correction and hardware scalability
  • Collaborate with cross-functional teams to integrate quantum solutions into real-world systems
  • Publish groundbreaking research in peer-reviewed journals and industry conferences
  • Mentor junior researchers and drive quantum computing education initiatives
  • Secure research funding through NSF and DoE grant applications
  • Stay ahead of emerging quantum technologies through continuous learning

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Proven track record of peer-reviewed publications in quantum computing
  • Familiarity with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Strong mathematical foundations in linear algebra, probability, and information theory
  • Experience with high-performance computing and parallel processing
  • Excellent communication skills for technical and non-technical audiences

Required Skills

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

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