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Quantum Computing Architect

Innovatech Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Innovatech Solutions at the forefront of 2026's technological revolution as we pioneer quantum computing applications that will redefine global industries. We're seeking a visionary Quantum Computing Architect to design and implement next-gen quantum systems that solve previously unsolvable problems. This role offers unparalleled opportunity to shape the future of computation in our state-of-the-art San Francisco lab.

As part of our elite Future Technologies Division, you'll collaborate with Nobel laureates and industry pioneers to develop quantum algorithms, optimize quantum hardware architectures, and create commercial applications that will power the next decade of innovation. This is your chance to work on projects that will literally change the world.

Responsibilities

  • Design scalable quantum computing architectures for enterprise applications
  • Develop quantum algorithms optimized for specific hardware constraints
  • Lead cross-functional teams in quantum system integration and testing
  • Research and implement quantum error correction protocols
  • Create documentation and training materials for quantum technologies
  • Collaborate with hardware teams to co-design quantum processors
  • Drive innovation in quantum machine learning applications

Qualifications

  • PhD in Quantum Computing, Physics, or related field (MS with 5+ years experience)
  • Expertise in quantum algorithms and quantum circuit design
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Strong background in linear algebra and quantum information theory
  • Proven track record of publishing in quantum computing journals
  • Experience leading technical teams in R&D environments

Required Skills

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

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