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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
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Scientist to develop next-gen quantum algorithms and architectures that will redefine computational capabilities. Our Austin-based R&D hub offers unparalleled resources, including access to IBM Quantum systems and a collaborative environment where your breakthroughs will directly shape the future of AI, cryptography, and material science. Competitive equity packages and flexible work arrangements available.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead experimental validation of quantum circuits on superconducting platforms
  • Collaborate with hardware teams to overcome quantum decoherence challenges
  • Publish research in top-tier journals and present at IEEE Quantum Week
  • Secure federal grants and industry partnerships for quantum R&D
  • Mentor PhD candidates in quantum information science
  • Develop error-correction protocols for fault-tolerant quantum systems

Qualifications

  • PhD in Physics, Computer Science, or Quantum Information with 3+ years postdoctoral experience
  • Published record in Nature/Science or equivalent quantum computing publications
  • Proficiency in Qiskit, Cirq, or quantum circuit simulation frameworks
  • Expertise in quantum error correction and fault-tolerant architectures
  • Experience with superconducting qubit manipulation and measurement
  • Demonstrated ability to secure NSF/DARPA quantum research funding
  • Strong background in machine learning optimization techniques
  • Excellent written and verbal communication skills

Required Skills

Quantum Computing Superconducting Qubits Quantum Algorithms Error Correction Qiskit Machine Learning Cryogenic Systems Quantum Cryptography

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