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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Architect

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Future Labs as a Quantum Computing Architect to pioneer the next technological revolution. We're seeking a visionary expert to design quantum systems that will redefine computing by 2026. In this pivotal role, you'll architect scalable quantum algorithms, lead cross-functional research teams, and transform theoretical breakthroughs into real-world applications. If you're passionate about solving humanity's greatest challenges through quantum innovation, this is your opportunity to shape the future.

Responsibilities

  • Design and implement quantum algorithms for cryptography, optimization, and machine learning applications
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Collaborate with hardware engineers to co-design quantum processors with 100+ qubit capabilities
  • Develop quantum software frameworks for enterprise clients in finance, healthcare, and logistics
  • Present quantum computing roadmaps to C-suite executives and venture partners
  • Secure $5M+ in R&D funding through grant proposals and investor pitches
  • Mentor PhD researchers and publish findings in Nature/Science journals

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (Master's with 10+ years experience considered)
  • Proven expertise in quantum circuit design and quantum machine learning
  • Published research in top-tier quantum computing journals or conferences
  • Experience with quantum programming languages (Qiskit, Cirq, Q#) and simulators
  • Track record of leading technical teams in high-stakes R&D environments
  • Deep understanding of quantum decoherence and error correction protocols
  • Strong business acumen to translate quantum capabilities into commercial value

Required Skills

Quantum Computing Quantum Algorithms Cryptography Machine Learning R&D Leadership Quantum Error Correction High-Performance Computing Patent Development

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