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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 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 a visionary Research Scientist to develop groundbreaking quantum algorithms that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, where innovation isn't just encouraged—it's our DNA. You'll shape the future of cryptography, AI, and materials science while enjoying competitive compensation, unlimited PTO, and a relocation package for top global talent.

Responsibilities

  • Design and implement quantum algorithms for real-world applications
  • Lead cross-functional research teams in quantum error correction protocols
  • Publish findings in top-tier journals and present at international conferences
  • Collaborate with hardware engineers to optimize quantum system performance
  • Secure patents for novel quantum computing methodologies
  • Mentor junior researchers and develop quantum curriculum
  • Identify emerging quantum threats and develop mitigation strategies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum computing or quantum information theory
  • Deep understanding of quantum mechanics principles and quantum decoherence
  • Experience with high-performance computing and parallel processing
  • Strong analytical skills with ability to solve complex abstract problems
  • Excellent written and verbal communication skills

Required Skills

Quantum Computing Algorithm Development Quantum Cryptography Qiskit Q# High-Performance Computing Quantum Error Correction Machine Learning Research Methodology

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