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Quantum Computing Research Scientist

InnovateX Labs
San Francisco
Estimated Salary
USD 150.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join InnovateX Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and systems that will redefine computational boundaries. This role offers unparalleled opportunities to collaborate with Nobel laureates and publish in top-tier journals while contributing to projects with global impact.

Our state-of-the-art facility in San Francisco provides access to cutting-edge quantum hardware and a diverse team of world-class researchers. We offer competitive compensation, comprehensive benefits, and a flexible work environment designed to maximize innovation.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation
  • Develop error correction techniques for scalable quantum systems
  • Collaborate with hardware engineers to optimize quantum circuit performance
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and drive cross-functional innovation projects
  • Secure research funding through grant proposals and industry partnerships

Qualifications

  • PhD in Physics, Computer Science, or related quantitative field
  • 3+ years of experience with quantum computing frameworks (Qiskit, Cirq, etc.)
  • Strong publication record in quantum information science
  • Expertise in linear algebra, probability theory, and computational complexity
  • Proficiency in Python and high-performance computing environments
  • Demonstrated ability to lead interdisciplinary research teams
  • Passion for solving NP-hard problems using quantum approaches

Required Skills

Quantum Computing Algorithm Design Error Correction Qiskit Cirq Python Machine Learning Optimization Research Leadership

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