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Research & Development 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

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

Job Description

Join our pioneering team at FutureTech Innovations to shape the quantum computing landscape of 2026. We're seeking visionary Quantum Computing Research Scientists to develop next-generation algorithms and systems that will redefine computational boundaries. This role offers unparalleled opportunities to work with cutting-edge quantum hardware and collaborate with Nobel laureates in our state-of-the-art Silicon Valley facility. Our comprehensive benefits package includes equity, flexible work arrangements, and dedicated R&D funding for your breakthrough projects.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Collaborate with hardware engineers to develop error correction protocols for quantum processors
  • Lead cross-functional teams to translate theoretical models into scalable quantum solutions
  • Publish groundbreaking research in top-tier journals and present at international conferences
  • Secure and manage R&D grants from government and private sector partners
  • Mentor junior researchers and contribute to our quantum computing curriculum

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years post-doctoral experience
  • Proven expertise in quantum algorithm development and quantum circuit design
  • Strong publication record in quantum computing or theoretical computer science
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Demonstrated ability to secure research funding and manage complex projects
  • Experience with high-performance computing and distributed quantum systems
  • Exceptional problem-solving skills and innovative thinking

Required Skills

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

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