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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Researcher to develop next-generation algorithms and hardware interfaces that will redefine computational boundaries. Our Austin-based innovation hub offers state-of-the-art facilities and a collaborative environment where your breakthroughs will directly impact global industries from healthcare to logistics. If you're passionate about solving humanity's most complex challenges through quantum mechanics, this is your opportunity to shape the future.

Responsibilities

  • Design and implement quantum algorithms for practical industry applications
  • Develop error-correction protocols for scalable quantum systems
  • Collaborate with hardware teams to optimize quantum processor interfaces
  • Lead research initiatives in quantum machine learning integration
  • Publish findings in peer-reviewed journals and present at international conferences
  • Mentor junior researchers in quantum computing methodologies
  • Secure and manage research partnerships with academic institutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong publication record in quantum computing research
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, etc.)
  • Demonstrated ability to translate theoretical concepts into practical solutions
  • Expertise in quantum error correction and fault tolerance techniques
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Quantum Algorithms Error Correction Q# Qiskit Cirq Machine Learning Quantum Hardware Research Methodology

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