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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer quantum computing solutions for 2026 and beyond. As a Quantum Computing Research Scientist, you'll collaborate with world-class teams to develop next-gen quantum algorithms and architectures that will revolutionize industries from healthcare to finance. Our state-of-the-art Austin facility offers unparalleled resources for breakthrough research, including access to quantum processors and dedicated simulation environments. We're seeking visionaries who thrive at the intersection of theoretical physics, computer science, and practical application to solve humanity's most complex challenges.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols for scalable quantum systems
  • Collaborate with hardware engineers to optimize quantum processor architectures
  • Lead cross-functional research initiatives in quantum machine learning
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure external research funding through grant applications
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Physics, Computer Science, or related quantum field (or equivalent experience)
  • 3+ years hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction techniques
  • Strong publication record in quantum computing or theoretical physics
  • Experience with high-performance computing environments
  • Proven ability to translate theoretical concepts into practical implementations
  • Excellent written and verbal communication skills

Required Skills

Quantum Computing Quantum Algorithms Error Correction Q# Qiskit Cirq Theoretical Physics Machine Learning High-Performance Computing

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