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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs that will redefine 2026 and beyond. We're seeking visionary researchers to develop next-gen quantum algorithms and systems that solve humanity's most complex challenges. Our Austin campus offers unparalleled resources, including a 128-qubit quantum processor and state-of-the-art AI integration labs.

This role represents the intersection of theoretical physics and practical application, where your work directly impacts fields from climate modeling to drug discovery. We provide competitive equity packages, flexible work arrangements, and dedicated R&D budgets for cutting-edge experimentation.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with AI teams to hybridize quantum-classical computing workflows
  • Lead research initiatives in quantum machine learning applications
  • Author peer-reviewed publications and patent disclosures
  • Mentor junior researchers in quantum theory and experimental physics
  • Secure external funding through NSF and DARPA grant proposals

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years experience with quantum programming frameworks (Qiskit, Cirq)
  • Published research in quantum information theory or quantum computing
  • Proficiency in Python, C++, and quantum circuit design
  • Deep understanding of quantum decoherence and entanglement principles
  • Experience with high-performance computing environments
  • Strong background in linear algebra and probability theory
  • Preferred: Prior work with superconducting qubit systems

Required Skills

Quantum Computing Qiskit Cirq Python Quantum Algorithms Machine Learning High-Performance Computing Theoretical Physics

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