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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join FutureTech Innovations at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. As a Quantum Computing Research Scientist, you'll design and implement next-gen algorithms to solve previously unsolvable computational challenges. Collaborate with world-class engineers in a cutting-edge lab environment, pushing the boundaries of quantum supremacy, error correction, and practical quantum applications.

We offer competitive compensation, flexible work arrangements, and unparalleled opportunities to shape the future of technology. Your work will directly impact breakthroughs in cryptography, material science, and artificial intelligence.

Responsibilities

  • Design and execute quantum algorithms leveraging superposition and entanglement principles
  • Develop quantum error correction protocols for fault-tolerant systems
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish peer-reviewed research in top-tier journals and conferences
  • Lead cross-functional projects translating theoretical models into practical solutions
  • Mentor junior researchers and foster innovation in quantum methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum programming experience (Q#, Qiskit, Cirq)
  • Expertise in quantum algorithm design and complexity theory
  • Strong publication record in quantum computing or adjacent fields
  • Proficiency in linear algebra, probability, and quantum mechanics
  • Experience with quantum hardware platforms (IBM, Rigetti, IonQ)
  • Demonstrated ability to lead technical projects and deliver results

Required Skills

Quantum Computing Qiskit Q# Cirq Quantum Algorithms Error Correction Linear Algebra Quantum Mechanics Cryptography Machine Learning

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