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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Architect

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Innovations at the forefront of technological advancement as we shape the future of quantum computing. We are seeking a visionary Quantum Computing Architect to design and implement groundbreaking solutions that will revolutionize industries. Lead the development of next-gen quantum algorithms and hybrid systems while collaborating with world-class researchers to solve humanity's most complex challenges. This role offers unparalleled opportunities to pioneer the quantum frontier in a dynamic, innovation-driven environment.

Responsibilities

  • Design and optimize scalable quantum computing architectures for commercial applications
  • Develop hybrid quantum-classical algorithms to solve real-world problems
  • Collaborate with research teams to prototype and validate quantum solutions
  • Lead cross-functional teams in implementing quantum systems in production environments
  • Drive innovation in quantum error correction and fault-tolerant computing
  • Stay ahead of emerging quantum technologies and industry trends
  • Document technical specifications and contribute to patent filings

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Proven experience with quantum circuit design and optimization
  • Strong background in quantum information theory and quantum algorithms
  • Proficiency in high-performance computing and parallel processing
  • Excellent problem-solving skills with complex technical systems
  • Track record of leading innovative projects in emerging technologies
  • Strong communication skills for technical and non-technical stakeholders

Required Skills

Quantum Computing Quantum Algorithms Q# Qiskit Cirq Quantum Information Theory High-Performance Computing Circuit Design Fault-Tolerant Systems

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