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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
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. Our interdisciplinary team is developing next-gen quantum algorithms to solve previously unsolvable challenges in cryptography, materials science, and AI optimization. We seek a visionary researcher to accelerate breakthroughs in fault-tolerant quantum systems and hybrid quantum-classical workflows.

This role offers unparalleled resources, including access to our state-of-the-art quantum annealing lab and collaboration with Nobel laureates. You'll shape the future of computational science while enjoying Austin's vibrant tech ecosystem.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications
  • Lead research in quantum error correction and hardware-software co-design
  • Collaborate with cross-functional teams to integrate quantum solutions into existing frameworks
  • Publish peer-reviewed research and present findings at international conferences
  • Secure research funding through grant proposals and industry partnerships
  • Mentor junior researchers and contribute to quantum education initiatives

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years hands-on experience with quantum computing frameworks (Qiskit, Cirq, or Q#)
  • Published research in quantum information science or top-tier conferences
  • Expertise in quantum algorithms and complexity theory
  • Strong background in linear algebra, probability, and statistical mechanics
  • Proficiency in Python and high-performance computing environments
  • Ability to translate theoretical concepts into experimental implementations

Required Skills

quantum computing quantum algorithms quantum error correction Qiskit Cirq fault-tolerant systems cryptography materials science AI optimization

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