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Quantum Computing Research Scientist 2026

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution. We're pioneering quantum algorithms that will redefine 2026's technological landscape. As a Research Scientist, you'll design next-gen quantum systems that solve previously impossible problems in cryptography, materials science, and AI optimization. Our Austin campus features state-of-the-art cryogenic quantum processors and collaborative innovation spaces where your breakthrough ideas become reality.

We offer competitive equity packages, flexible R&D budgets, and direct partnerships with national research institutions. Shape the future of computing while enjoying Texas's vibrant tech ecosystem.

Responsibilities

  • Develop novel quantum algorithms for 2026-era applications in machine learning and optimization
  • Lead experimental validation of quantum supremacy protocols using superconducting qubits
  • Collaborate with hardware teams to co-design quantum error correction architectures
  • Author peer-reviewed publications and patents in top-tier quantum computing journals
  • Present research findings at international conferences including IEEE Quantum Week
  • Mentor PhD researchers in quantum information theory foundations
  • Secure $2M+ in government and industry research grants

Qualifications

  • PhD in Physics, Computer Science, or Electrical Engineering with quantum focus
  • 3+ years hands-on experience with quantum circuit simulation frameworks (Qiskit, Cirq)
  • Published research in quantum error correction or fault-tolerant computing
  • Proficiency in low-level quantum hardware control systems (QCC, QPU interfaces)
  • Demonstrated ability to secure NSF/DOE research grants
  • Expertise in topological quantum computing models
  • Strong background in linear algebra and quantum information theory

Required Skills

Quantum Computing Qiskit Cirq Quantum Error Correction Fault-Tolerant Systems Cryogenic Engineering Linear Algebra Machine Learning

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