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Quantum Computing Research Scientist

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

Job Description

Join our pioneering team at FutureTech Innovations to shape the future of computational technology. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and applications for our 2026 quantum computing roadmap. Collaborate with Nobel laureates and industry leaders in our state-of-the-art San Francisco lab, where you'll tackle humanity's most complex challenges in cryptography, materials science, and artificial intelligence.

Why FutureTech? We offer industry-leading compensation, equity packages, and unparalleled resources including access to IBM Quantum and D-Wave systems. Our culture celebrates innovation, with flexible work arrangements and dedicated R&D budgets for your breakthrough projects.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications in finance, healthcare, and logistics
  • Lead research projects focused on error mitigation and quantum supremacy validation
  • Develop hybrid quantum-classical machine learning frameworks
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Secure federal and private research grants for 2026 quantum initiatives

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq)
  • Published research in quantum algorithms or quantum error correction
  • Expertise in quantum hardware platforms (ion traps, superconducting qubits)
  • Strong background in linear algebra, probability theory, and statistical mechanics
  • Proven ability to secure competitive research funding
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Qiskit Cirq Machine Learning Cryptography Materials Science Research Methodology Statistical Mechanics Grant Writing

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