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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
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join FutureTech Innovations at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and hardware prototypes that will redefine computational possibilities. Collaborate with world-class physicists and engineers in our state-of-the-art San Francisco lab, where your work will directly impact industries from pharmaceuticals to artificial intelligence. We offer unparalleled resources, competitive compensation, and the opportunity to shape the next era of technology.

Responsibilities

  • Design and implement quantum algorithms for real-world applications
  • Conduct theoretical research in quantum information theory and error correction
  • Collaborate with hardware teams to optimize quantum system architectures
  • Develop simulation frameworks for quantum circuit validation
  • Publish findings in leading scientific journals and conferences
  • Mentor junior researchers and drive innovation in quantum machine learning
  • Secure external funding through NSF and DARPA proposals

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong publication record in quantum computing or condensed matter physics
  • Proficiency with quantum simulation tools and high-performance computing
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, etc.)

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Quantum Error Correction Theoretical Physics High-Performance Computing Machine Learning Scientific Research

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