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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
Live Update
19 Mei 2026
Deadline
19 Mei 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 systems that will redefine computational boundaries. This role offers unparalleled opportunities to collaborate with Nobel laureates and industry pioneers in our state-of-the-art quantum lab.

Our dynamic team thrives on innovation, offering competitive equity packages, flexible work arrangements, and dedicated R&D budgets. Shape the future of technology while advancing your career in one of the world's most cutting-edge fields.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems
  • Develop error correction protocols for scalable quantum systems
  • Lead experimental validation of quantum supremacy claims
  • Collaborate with hardware teams to bridge quantum software-hardware integration
  • Publish groundbreaking research in top-tier journals and conferences
  • Mentor junior researchers and contribute to quantum education initiatives
  • Secure external funding through NSF and DARPA grants

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Published work in quantum information theory or quantum machine learning
  • Deep understanding of quantum error correction techniques
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Strong background in linear algebra and probability theory

Required Skills

Quantum Computing Q# Qiskit Quantum Algorithms Error Correction Quantum Machine Learning Linear Algebra Quantum Hardware Research Methodology

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