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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking a visionary Research Scientist to develop next-gen quantum algorithms that will redefine industries. Our Austin-based innovation hub combines cutting-edge hardware with world-class talent to solve humanity's most complex challenges. If you're passionate about quantum mechanics, algorithm design, and shaping tomorrow's technological landscape, this is your moment to make history.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Collaborate with hardware engineers to optimize quantum circuit performance on real devices
  • Lead research initiatives in quantum error correction and fault-tolerant computing
  • Develop hybrid quantum-classical machine learning frameworks for 2026 applications
  • Publish breakthrough research in leading quantum computing journals and conferences
  • Secure external funding through NSF and DARPA grant proposals
  • Mentor junior researchers and drive cross-functional innovation projects

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Deep understanding of quantum algorithms (Shor's, Grover's, VQE, QAOA)
  • Expertise in quantum error correction codes and fault-tolerant architectures
  • Proven track record of publishing in Nature/Science or top-tier quantum journals
  • Experience with high-performance computing and parallel processing
  • Strong background in linear algebra, probability, and information theory
  • Ability to translate complex quantum concepts into practical business applications

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction Machine Learning High-Performance Computing Python Linear Algebra

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