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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We're seeking visionary researchers to develop next-gen quantum algorithms and hardware solutions that will redefine global computing paradigms. Our Austin-based innovation hub offers unparalleled resources, including state-of-the-art quantum processors and collaborative workspaces where your ideas will shape the future of technology.

Why Nexus Labs? We provide competitive equity packages, flexible R&D budgets, and direct access to Fortune 500 partners implementing your research. Our commitment to work-life balance includes remote flexibility and quarterly innovation retreats.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation challenges
  • Collaborate with hardware engineers to overcome quantum decoherence and error correction barriers
  • Publish peer-reviewed research in top-tier quantum computing journals
  • Lead cross-functional projects with AI and blockchain development teams
  • Develop quantum-safe cryptographic protocols for 2026 infrastructure needs
  • Mentor junior researchers and contribute to open-source quantum frameworks

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing focus
  • 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or similar)
  • Published research in quantum algorithms or quantum hardware
  • Expertise in linear algebra, complex analysis, and computational complexity
  • Proficiency in high-performance computing environments
  • Strong track record of translating theoretical concepts into practical applications
  • Experience with quantum machine learning frameworks

Required Skills

Quantum Computing Qiskit Cirq Cryptography High-Performance Computing Machine Learning Physics

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