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Quantum Computing Architect

Nexus Future Labs
Austin
Estimated Salary
USD 190.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum Computing Architect to design next-gen quantum algorithms and hybrid-classical systems. This role offers unparalleled opportunity to shape the future of computational science while collaborating with Nobel laureates and industry pioneers.

Our Austin hub features state-of-the-art quantum annealing facilities and a dynamic, interdisciplinary team. We offer competitive equity packages, flexible work arrangements, and dedicated R&D time for experimental projects.

Responsibilities

  • Design and implement quantum algorithms for optimization and machine learning applications
  • Develop hybrid quantum-classical computing frameworks for real-world problem-solving
  • Lead quantum system architecture planning and integration with classical infrastructure
  • Collaborate with hardware teams to optimize qubit coherence and error correction protocols
  • Pioneer novel quantum applications in cryptography, materials science, and AI
  • Mentor junior researchers and publish breakthrough findings in top-tier journals

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (MS with 5+ years experience)
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#) and circuit optimization
  • Proven track record in quantum algorithm development for practical applications
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Experience with high-performance computing and distributed quantum systems
  • Published research in quantum computing or top-tier tech conferences
  • Strong analytical skills and ability to communicate complex concepts clearly

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Quantum Error Correction Machine Learning High-Performance Computing Cryptography Materials Science Python C++ GPU Acceleration

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