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Quantum Computing Research Scientist 2026

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Join the forefront of technological revolution at FutureTech Innovations, where we're pioneering quantum computing solutions that will redefine industries by 2026. We seek a visionary Quantum Computing Research Scientist to develop next-gen algorithms and hardware prototypes that solve previously impossible computational challenges. This role offers unparalleled resources to explore quantum supremacy, error correction, and practical quantum applications in cryptography, AI, and materials science. Our state-of-the-art lab features cryogenic systems, advanced photonics, and a collaborative environment where your breakthroughs will shape the future of computing.

Responsibilities

  • Design and implement novel quantum algorithms for complex optimization problems
  • Develop quantum error correction protocols to enhance qubit stability
  • Collaborate with hardware teams to prototype quantum processors at 100+ qubit scale
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Secure government and private funding for quantum research initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years experience
  • Expertise in quantum algorithms (Shor's, Grover's, VQE) and circuit design
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in quantum error correction and fault tolerance
  • Published research in quantum computing or theoretical physics
  • Experience with cryogenic systems and quantum hardware integration
  • Track record of securing research grants ($500k+ preferred)

Required Skills

Quantum Computing Quantum Algorithms Error Correction Cryogenic Systems Qiskit Cirq Quantum Machine Learning Fault Tolerance

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