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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

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

Job Description

Join 2026 Innovations at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine industries. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and systems that will power the 2026 digital landscape. Work in our state-of-the-art lab collaborating with Nobel laureates and industry disruptors to solve humanity's most complex challenges.

Why 2026 Innovations? We offer competitive equity packages, flexible hybrid work, and unlimited learning stipends. Our culture values radical innovation and intellectual curiosity above all.

Responsibilities

  • Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead quantum hardware-software integration projects with cutting-edge quantum processors
  • Publish breakthrough research in top-tier journals and conferences
  • Collaborate with cross-functional teams to commercialize quantum solutions
  • Secure research grants and patents for novel quantum methodologies
  • Mentor junior researchers and drive quantum literacy initiatives

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing specialization
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Proven track record of peer-reviewed publications in quantum research
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong mathematical foundations in linear algebra, probability, and information theory
  • Experience with high-performance computing and parallel processing
  • Ability to translate complex quantum concepts into practical business applications

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Cryptography Machine Learning PhD Physics Fault-Tolerant Systems

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