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Quantum Computing Research Scientist

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

Job Description

Shape the future with FutureTech Innovations! We're pioneering quantum computing breakthroughs that will define 2026 and beyond. Join our elite research team in San Francisco where you'll develop revolutionary quantum algorithms and systems that solve humanity's greatest challenges.

This role offers unparalleled opportunities to collaborate with Nobel laureates and industry pioneers in our state-of-the-art quantum lab. You'll work on projects ranging from quantum cryptography to drug discovery, pushing the boundaries of what's computationally possible. We offer competitive compensation, comprehensive benefits, and a culture that celebrates intellectual curiosity.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational problems
  • Develop quantum error correction protocols to enhance qubit stability
  • Lead cross-functional research teams in quantum hardware-software integration
  • Publish groundbreaking findings in leading scientific journals
  • Secure federal and private research grants for quantum initiatives
  • Mentor junior researchers in quantum computing methodologies
  • Advise on strategic quantum technology roadmaps for 2026+ applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (post-doc preferred)
  • 5+ years of quantum computing research with peer-reviewed publications
  • Expertise in quantum algorithms, quantum information theory, and quantum error correction
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#)
  • Experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)
  • Demonstrated ability to secure research funding (NSF, DOE, DARPA)
  • Strong background in machine learning and high-performance computing

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Q# Machine Learning High-Performance Computing Research Methodology

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