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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
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. As a Quantum Computing Research Scientist, you'll develop breakthrough algorithms and hardware architectures that will redefine computational boundaries. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, where we're building the quantum infrastructure that will power the next generation of AI, cryptography, and scientific discovery.

We offer competitive equity packages, unlimited PTO, and a flexible hybrid work model. Our team includes pioneers from IBM, Google Quantum, and MIT, united by a mission to solve humanity's most complex challenges through quantum innovation.

Responsibilities

  • Design and implement novel quantum algorithms for practical 2026 applications
  • Lead hardware-software co-design for next-gen quantum processors
  • Develop error correction protocols for fault-tolerant quantum systems
  • Collaborate with AI teams to integrate quantum machine learning frameworks
  • Publish breakthrough research in top-tier journals and conferences
  • Secure $5M+ in research grants from NSF and DARPA
  • Mentor PhD candidates in quantum information science

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in Qiskit, Cirq, or equivalent quantum programming frameworks
  • Published work in Nature/Science or IEEE Transactions on Quantum Engineering
  • Expertise in quantum error correction and fault tolerance
  • Deep understanding of quantum hardware architectures (superconducting, trapped ions)
  • Strong background in linear algebra, probability, and statistical mechanics

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction Quantum Hardware Machine Learning Research

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