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Quantum Computing Research Scientist

Nexus Innovations
Austin, Texas
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Innovations at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and architectures that will redefine computational capabilities. This role offers unparalleled opportunities to work with cutting-edge hardware and collaborate with world-class researchers in our state-of-the-art Austin facility.

As part of our Quantum Futures Lab, you'll contribute to projects spanning quantum cryptography, optimization algorithms, and machine learning acceleration. We offer competitive compensation, flexible work arrangements, and a culture that celebrates innovation and intellectual curiosity.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational problems
  • Collaborate with hardware engineers to optimize quantum circuit architectures
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Publish findings in top-tier journals and present at international conferences
  • Develop quantum machine learning frameworks for next-generation AI applications
  • Secure external funding through NSF and DoE grant applications
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Physics, Computer Science, or related quantum field
  • 5+ years of quantum algorithm development experience
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in quantum information theory and complexity
  • Publication record in quantum computing or quantum optics
  • Experience with high-performance computing environments
  • Demonstrated ability to translate theoretical concepts into practical applications

Required Skills

Quantum Computing Quantum Algorithms Machine Learning Cryptography High-Performance Computing Python C++ Quantum Error Correction Theoretical Physics

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