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Research & Development 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution. We're seeking a visionary Quantum Computing Research Scientist to architect next-gen algorithms and solve humanity's most complex challenges. Our Austin hub offers state-of-the-art facilities and a collaborative environment where your breakthroughs will shape 2026's technological landscape.

Why Nexus? We provide competitive equity packages, flexible hybrid work, and access to our quantum annealing supercluster. This role directly contributes to our quantum AI integration projects with Fortune 500 partners.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning
  • Lead cross-functional R&D teams in prototyping quantum-classical hybrid systems
  • Publish peer-reviewed research in top-tier journals (Nature, Science, etc.)
  • Collaborate with hardware engineers to optimize qubit coherence protocols
  • Translate theoretical models into production-ready quantum applications
  • Present findings at international quantum computing conferences
  • Drive patent development for quantum encryption methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (MS with 5+ years experience considered)
  • Proven expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Publication record in quantum algorithms or quantum information theory
  • Experience with superconducting or trapped-ion quantum processors
  • Strong background in linear algebra, probability, and statistical mechanics
  • Familiarity with cloud quantum computing platforms (IBM Quantum, AWS Braket)
  • Ability to communicate complex concepts to non-technical stakeholders

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Quantum Cryptography Superconducting Qubits Machine Learning Python C++ Scientific Computing

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