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Quantum Computing Research Scientist

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and hardware architectures that will redefine computational possibilities. In this role, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges in cryptography, materials science, and artificial intelligence.

Our Austin campus features state-of-the-art quantum annealing facilities and immersive VR research environments. We offer competitive equity packages, unlimited PTO, and access to our Innovation Accelerator program that transforms research patents into market-ready technologies.

Responsibilities

  • Design and implement quantum algorithms for optimization and machine learning applications
  • Lead experimental validation of quantum hardware prototypes in cryogenic environments
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with cross-functional teams to integrate quantum solutions with classical computing infrastructure
  • Publish peer-reviewed research in top-tier journals and present at international conferences
  • Secure patents for novel quantum computing methodologies and architectures
  • Mentor junior researchers and supervise graduate-level interns

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
  • Deep understanding of quantum error correction and fault-tolerant systems
  • Experience with superconducting qubit manipulation or ion trap technologies
  • Published research in quantum algorithms or quantum hardware design
  • Strong background in linear algebra, probability theory, and computational complexity
  • Ability to translate theoretical concepts into practical engineering solutions

Required Skills

Quantum Computing Quantum Algorithms Cryogenic Engineering Qiskit Q# Superconducting Qubits Fault-Tolerant Systems Machine Learning Cryptography

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