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Quantum Computing Research Scientist

Nexus Future Labs
Austin
Estimated Salary
USD 150.000 – USD 200.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of quantum innovation as we redefine computing for the 2026 horizon. We're pioneering breakthroughs in quantum algorithms, error correction, and hardware optimization that will power next-generation AI, cryptography, and materials science. As a key member of our research team, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges. Our Austin campus offers state-of-the-art facilities, unlimited research budgets, and a culture that celebrates intellectual curiosity and bold thinking.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols to advance quantum coherence beyond 2026 industry standards
  • Lead cross-functional teams to integrate quantum solutions with classical computing frameworks
  • Publish breakthrough research in top-tier journals and present at international conferences
  • Secure federal grants and private partnerships for quantum research initiatives
  • Mentor PhD candidates and junior researchers in quantum computing methodologies

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 5+ years of hands-on experience with quantum hardware (superconducting, ion trap, or photonic)
  • Publication record in Nature/Science or equivalent high-impact journals
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong background in machine learning and classical algorithm optimization
  • Proven ability to secure research funding from NSF, DOE, or DARPA
  • Experience leading quantum computing projects with industry partners

Required Skills

quantum computing quantum algorithms error correction superconducting qubits Qiskit machine learning cryptography quantum simulation hardware optimization research methodology

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