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Quantum Computing Research Scientist - 2026 Vision

Nexus Quantum Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution as we pioneer breakthroughs in quantum algorithms for 2026 and beyond. We seek a visionary Research Scientist to develop next-generation quantum solutions that will redefine industries. This role offers unparalleled access to cutting-edge hardware, collaborative interdisciplinary teams, and the opportunity to shape the quantum landscape of tomorrow.

Why Nexus Quantum Labs?
• State-of-the-art quantum computing facilities
• Collaborative research environment with MIT/Stanford partnerships
• Patent equity program for revolutionary discoveries
• Flexible remote work with quarterly in-person innovation summits

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation challenges
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to develop quantum-classical hybrid workflows
  • Publish findings in top-tier journals (Nature Quantum, IEEE Transactions) and present at conferences
  • Secure federal and private research grants for 2026 quantum computing roadmap
  • Mentor junior researchers in quantum programming languages (Qiskit, Cirq)

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years experience in quantum algorithm development or quantum simulation
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#)
  • Publication record in quantum computing or theoretical physics
  • Deep understanding of quantum complexity theory and computational models
  • Experience with high-performance computing and parallel processing
  • Security clearance eligibility (preferred for government-funded projects)

Required Skills

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

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