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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of quantum computing innovation! We're seeking a visionary Research Scientist to architect next-gen quantum systems that will redefine technological capabilities by 2026. As a key member of our Quantum Division, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. Our Austin campus features state-of-the-art labs and offers unparalleled resources for groundbreaking research.

Why Nexus Labs?
• Cutting-edge quantum hardware access
• Flexible hybrid work policy
• $20K annual R&D stipend
• Equity participation in breakthrough patents
• Mentorship from quantum computing pioneers

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead cross-functional teams in prototyping quantum hardware-software interfaces
  • Publish breakthrough research in top-tier journals and conferences
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Secure external funding through NSF and DARPA grants
  • Advise C-suite on quantum technology roadmap integration
  • Mentor PhD candidates in quantum information science

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Published work in Nature/Science or equivalent tier journals
  • Proficiency with quantum programming languages (Qiskit, Cirq, or Q#)
  • Deep understanding of quantum error correction and fault tolerance
  • Track record of securing research funding ($500K+)
  • Expertise in quantum machine learning applications
  • Clearance for DoD quantum research projects (or ability to obtain)

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Machine Learning High-Performance Computing Cryptography Research Methodology

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