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Quantum Computing Research Scientist

FutureTech Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Shape the future at FutureTech Labs, where quantum innovation meets real-world impact. We're seeking a visionary Quantum Computing Research Scientist to pioneer breakthroughs that will redefine 2026's technological landscape. Join our elite team in San Francisco and develop next-gen quantum algorithms that solve previously impossible challenges in cryptography, AI, and materials science. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art lab, pushing the boundaries of computational physics.

This role offers unparalleled resources: access to IBM's quantum cloud, NVIDIA's quantum-accelerated supercomputers, and a $50M R&D budget. Your work will directly influence Fortune 500 partnerships and contribute to humanity's most ambitious scientific endeavors.

Responsibilities

  • Design and implement quantum algorithms for optimization problems
  • Lead cross-functional research teams on quantum machine learning projects
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware engineers to optimize quantum gate operations
  • Publish peer-reviewed research in Nature/Science journals
  • Secure patents for novel quantum computing methodologies
  • Mentor PhD candidates in quantum information theory

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years experience with quantum programming (Qiskit, Cirq, Q#)
  • Deep expertise in quantum error correction and fault tolerance
  • Published research in quantum computing or quantum information
  • Proficiency in Python, C++, and high-performance computing
  • Experience with quantum hardware (IBM Q, Rigetti, IonQ)
  • Strong background in linear algebra and quantum mechanics

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit Quantum Algorithms Quantum Error Correction High-Performance Computing Linear Algebra

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