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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Algorithm Engineer

Nexus Quantum Solutions
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Quantum Solutions at the forefront of computational revolution. We're pioneering quantum-resistant cryptography and quantum machine learning algorithms to solve humanity's most complex challenges. As a Quantum Algorithm Engineer, you'll architect next-gen protocols that will define the digital landscape of 2026 and beyond.

Our Austin-based R&D hub offers state-of-the-art quantum annealing hardware, flexible hybrid work arrangements, and unparalleled opportunities to publish breakthrough research. We provide competitive equity packages, comprehensive wellness benefits, and dedicated innovation time for personal projects.

Responsibilities

  • Design and implement quantum algorithms for optimization and cryptography applications
  • Develop hybrid quantum-classical machine learning pipelines
  • Collaborate with physicists to translate theoretical models into executable quantum circuits
  • Create performance benchmarks and error mitigation strategies
  • Lead open-source contributions to quantum programming frameworks
  • Mentor junior engineers in quantum computing best practices
  • Present findings at industry conferences and academic symposia

Qualifications

  • Master's degree in Computer Science, Physics, or Mathematics (PhD preferred)
  • 3+ years of experience with quantum programming languages (Qiskit, Cirq, Q#)
  • Proficiency in Python with scientific computing libraries (NumPy, SciPy)
  • Strong understanding of quantum mechanics and information theory
  • Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
  • Publication record in quantum computing or related fields
  • Security clearance eligibility for government-contracted projects

Required Skills

Quantum Computing Machine Learning Cryptography Python Qiskit Cirq Algorithm Design Quantum Information Theory

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