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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Lead Engineer

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Lead Engineers to architect next-gen systems that will redefine computational paradigms. This role offers unparalleled opportunities to shape the future of AI, cryptography, and scientific discovery while working in our state-of-the-art Austin innovation hub.

As a key member of our Quantum Futures Division, you'll collaborate with Nobel laureates, industry disruptors, and government partners to develop scalable quantum algorithms and error correction protocols. We provide competitive equity packages, unlimited R&D budgets, and flexible hybrid work arrangements designed for peak innovation.

Responsibilities

  • Lead quantum algorithm development for commercial applications in finance, logistics, and healthcare
  • Design and implement quantum error correction systems for fault-tolerant computing
  • Collaborate with hardware teams to optimize qubit coherence and gate fidelity
  • Mentor junior engineers and publish breakthrough research in top-tier journals
  • Develop quantum-safe cryptographic protocols for enterprise clients
  • Drive cross-functional projects with AI and blockchain teams

Qualifications

  • PhD in Physics, Computer Science, or related field (or equivalent experience)
  • 5+ years in quantum computing with demonstrated algorithm implementations
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum information theory or quantum machine learning
  • Strong background in linear algebra, quantum mechanics, and computational complexity
  • Experience leading technical teams in agile environments

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Error Correction Cryptography Machine Learning Python C++ Leadership

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