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Quantum Computing Research Lead

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
15 Mei 2026
Deadline
15 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 Research Lead to architect next-generation quantum systems that will redefine industries. Our Austin-based hub offers state-of-the-art facilities and collaborative environment where your expertise will directly shape the future of computation.

As part of our elite Quantum Research Division, you'll lead cross-functional teams in developing fault-tolerant quantum processors and hybrid quantum-classical algorithms. We offer competitive equity packages, flexible work arrangements, and unparalleled opportunities to publish breakthrough research.

Responsibilities

  • Architect and implement quantum error correction protocols for scalable quantum systems
  • Lead research teams in developing quantum machine learning applications
  • Collaborate with hardware engineers to optimize qubit coherence times
  • Develop hybrid quantum-classical frameworks for real-world problem solving
  • Secure patents and publish in top-tier quantum computing journals
  • Present findings at international quantum technology conferences
  • Mentor junior researchers and foster innovation culture

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 5+ years in quantum computing research with demonstrated publications
  • Expertise in quantum algorithms and error correction techniques
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in linear algebra, probability theory, and quantum mechanics
  • Experience leading cross-disciplinary technical teams
  • Track record of securing research funding or patents
  • Passion for solving complex computational challenges

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Machine Learning Research Leadership

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