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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Architect

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Architect to design next-generation quantum algorithms and systems that will redefine computational boundaries. This role offers unparalleled opportunities to work with Nobel Prize-winning researchers and deploy solutions in finance, healthcare, and AI. Our state-of-the-art facility in San Francisco provides an environment where innovation thrives, and your contributions will directly shape the future of technology.

Responsibilities

  • Design and implement scalable quantum algorithms for complex computational problems
  • Lead development of hybrid quantum-classical computing architectures
  • Collaborate with cross-functional teams to integrate quantum solutions into enterprise systems
  • Conduct research on quantum error correction and fault-tolerant systems
  • Mentor junior quantum engineers and publish breakthrough research
  • Develop patent-pending quantum computing methodologies
  • Stay ahead of emerging quantum technologies and standards

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years experience in quantum computing algorithm design
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction and decoherence
  • Track record of published research in peer-reviewed journals
  • Experience with superconducting and photonic quantum systems
  • Strong background in high-performance computing architectures
  • Proven ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Quantum Algorithms Q# Qiskit Cirq Quantum Error Correction Superconducting Systems Photonic Quantum Systems High-Performance Computing

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