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Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Researcher to develop next-gen algorithms and hardware prototypes that will redefine computational boundaries. Our Austin hub offers state-of-the-art facilities and collaborative teams pushing the limits of quantum supremacy.

As a key member of our Quantum Innovation Division, you'll work alongside Nobel laureates and industry pioneers to solve complex optimization problems in cryptography, material science, and AI. We provide competitive equity packages, flexible work arrangements, and dedicated R&D funding for breakthrough projects.

Responsibilities

  • Design and implement quantum algorithms for practical commercial applications
  • Collaborate with hardware teams to optimize qubit stability and error correction
  • Lead research on quantum machine learning frameworks for 2026-era data processing
  • Publish findings in top-tier journals and present at international quantum conferences
  • Develop roadmaps for quantum-secure cryptography systems
  • Mentor junior researchers in quantum computing principles
  • Secure patents for novel quantum methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum algorithm development or quantum error correction
  • Expertise in quantum annealing and superconducting qubit systems
  • Strong background in linear algebra and quantum information theory
  • Experience with high-performance computing environments
  • Proven ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Qiskit Cirq Q# Quantum Algorithms Quantum Error Correction Superconducting Qubits Machine Learning Cryptography

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