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Quantum Computing Research Lead

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join FutureTech Innovations at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking a visionary Quantum Computing Research Lead to shape the future of computational science. In this pivotal role, you'll lead a multidisciplinary team in developing breakthrough quantum algorithms and hardware solutions. Our state-of-the-art lab in San Francisco offers unparalleled resources for experimentation and collaboration with industry pioneers. We offer competitive compensation, equity packages, and flexible work arrangements designed for the modern innovator.

Responsibilities

  • Lead quantum algorithm development for cryptography and optimization challenges
  • Manage cross-functional teams of physicists, engineers, and computer scientists
  • Design and execute experimental quantum computing protocols
  • Collaborate with academic institutions and industry partners on R&D initiatives
  • Translate theoretical quantum mechanics into practical computing solutions
  • Publish research findings in top-tier scientific journals and conferences
  • Drive patent development for novel quantum computing methodologies
  • Shape long-term quantum computing roadmap aligning with 2026 technological milestones

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years of quantum computing research experience
  • Expertise in quantum algorithms, error correction, and hardware integration
  • Proven track record of publishing in Nature/Science journals
  • Strong programming skills (Python, C++, Q#)
  • Experience leading research teams and managing R&D budgets
  • Familiarity with quantum computing platforms (IBM Quantum, Rigetti, D-Wave)
  • Ability to communicate complex quantum concepts to diverse stakeholders

Required Skills

Quantum Computing Quantum Algorithms Cryptography Physics Computer Science Python C++ Q# Research Leadership Hardware Integration

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