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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum solutions that will redefine 2026 and beyond. Our Austin-based innovation hub is seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms and applications. You'll collaborate with Nobel laureates and industry disruptors in an environment where your breakthroughs directly shape the future of computational science.

We offer competitive equity packages, unlimited R&D budgets, and access to cutting-edge quantum hardware. Your work will accelerate breakthroughs in cryptography, drug discovery, and artificial intelligence – transforming theoretical possibilities into tangible global impact.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead research projects in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to develop quantum-classical hybrid architectures
  • Publish peer-reviewed papers and present findings at premier conferences
  • Secure research grants and intellectual property for commercial applications
  • Mentor junior researchers and drive cross-functional innovation initiatives

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Expertise in quantum algorithms and complexity theory
  • Published research in quantum computing or quantum information science
  • Proficiency in Python, C++, and high-performance computing environments
  • Strong background in linear algebra, probability, and statistical mechanics
  • Experience with quantum simulation software (Quil, QASM)

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Python C++ Machine Learning Cryptography Error Correction

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