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Quantum Computing Research Scientist (2026)

Nexus Quantum Labs
Austin, TX
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of quantum innovation as we pioneer breakthroughs that will redefine computing by 2026. We seek a visionary Quantum Computing Research Scientist to develop scalable quantum algorithms and error-correction protocols. You'll collaborate with Nobel laureates and cutting-edge engineers in our state-of-the-art Austin facility, pushing the boundaries of quantum supremacy. This role offers unparalleled opportunities to shape the future of computational science while enjoying competitive compensation and comprehensive benefits.

Our team operates at the intersection of theoretical physics and practical application, tackling challenges in cryptography, materials science, and AI acceleration. As part of our 2026 strategic initiative, you'll contribute to developing quantum-resistant security systems and quantum machine learning frameworks that will transform industries worldwide.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop quantum error-correction techniques to achieve fault-tolerant quantum computing
  • Lead research on quantum machine learning applications for 2026-era AI systems
  • Collaborate with hardware teams to optimize quantum circuit designs for next-generation processors
  • Publish breakthrough research in top-tier journals and present at international conferences
  • Secure external funding through NSF and DoE grants for quantum computing initiatives
  • Mentor junior researchers in quantum information theory and experimental protocols

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years of research experience
  • Expertise in quantum algorithm design and complexity theory
  • Published record in quantum error correction or fault-tolerant computing
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Deep understanding of quantum hardware architectures (superconducting, ion trap, photonic)
  • Experience with high-performance computing and parallel processing
  • Strong track record of securing research funding and industry partnerships

Required Skills

Quantum Computing Quantum Algorithms Error Correction Machine Learning Cryptography Superconducting Qubits Python C++ Research Leadership

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