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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
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms and hardware prototypes that will redefine computational boundaries. Our Austin-based R&D hub offers state-of-the-art facilities and unparalleled collaboration opportunities with Nobel laureates and industry pioneers. This role combines deep theoretical expertise with hands-on prototyping in a dynamic, startup-scale environment where your work directly impacts global tech advancement.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation challenges
  • Develop quantum error correction protocols for fault-tolerant systems
  • Collaborate with hardware teams to prototype quantum processors at cryogenic temperatures
  • Lead research publications in top-tier journals and conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Secure federal and private research grants for quantum initiatives
  • Translate theoretical models into scalable experimental prototypes

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Published work in quantum algorithms or quantum error correction
  • Experience with cryogenic quantum systems and superconducting qubits
  • Strong background in linear algebra, complex analysis, and information theory
  • Demonstrated ability to secure competitive research grants
  • Excellent written and verbal communication skills

Required Skills

Quantum Computing Quantum Algorithms Cryogenics Superconducting Qubits Qiskit Cirq Quantum Error Correction Theoretical Physics Machine Learning

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