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Quantum Computing Research Scientist

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

Job Description

Join FutureTech Innovations at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. This role offers an unparalleled opportunity to shape the future of computation, working with cutting-edge quantum hardware and algorithms that will redefine industries. Our state-of-the-art research lab in San Francisco provides an environment where innovation thrives, and collaboration with world-class scientists is part of daily life. We offer competitive compensation, comprehensive benefits, and the chance to contribute to projects that will impact humanity's technological trajectory.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Collaborate with hardware engineers to develop error correction protocols for quantum processors
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and cross-functional teams
  • Secure external funding through NSF and DARPA grants
  • Develop proprietary quantum software frameworks for commercial applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong publication record in quantum computing research
  • Expertise in quantum error correction and fault-tolerant architectures
  • Experience with cloud-based quantum computing platforms (IBM Quantum, AWS Braket)
  • Demonstrated ability to secure research funding
  • Excellent written and verbal communication skills

Required Skills

Quantum Algorithms Quantum Error Correction Q# Qiskit Cirq Machine Learning Quantum Hardware Research Methodology Scientific Computing

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