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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of quantum innovation to shape 2026's technological landscape. We seek a visionary Quantum Computing Researcher to develop next-gen algorithms and systems that will redefine computational boundaries. Collaborate with Nobel laureates and pioneer breakthroughs in quantum cryptography, optimization, and machine learning. Your work will directly impact Fortune 500 clients in finance, healthcare, and logistics.

As part of our elite Quantum Nexus team, you'll access state-of-the-art facilities and $50M in R&D funding. Enjoy flexible schedules, patent bonuses, and quarterly innovation sabbaticals. This role offers unparalleled growth opportunities in the world's most disruptive technology sector.

Responsibilities

  • Design and implement quantum algorithms for practical enterprise applications
  • Lead cross-functional teams in developing quantum-optimized solutions
  • Publish peer-reviewed research in top-tier journals (Nature, Science, etc.)
  • Collaborate with hardware teams to overcome quantum decoherence challenges
  • Develop quantum security protocols for blockchain and cryptography systems
  • Present findings to industry leaders at international tech conferences
  • Mentor junior researchers in quantum theory and experimental design

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
  • Published research in quantum algorithms or error correction
  • Expertise in quantum machine learning frameworks
  • Strong background in linear algebra and probability theory
  • Experience with superconducting or ion-trap quantum systems
  • Proven ability to translate complex quantum concepts to business stakeholders

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Machine Learning Cryptography Physics Superconducting Systems

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