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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and solve previously unsolvable computational challenges. This role offers unparalleled opportunities to shape the future of AI, cryptography, and materials science while collaborating with Nobel laureates and industry pioneers. Our Austin campus features state-of-the-art quantum labs and flexible work arrangements designed for maximum innovation.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems in AI and machine learning
  • Lead experimental validation of quantum hardware performance and error correction protocols
  • Collaborate with cross-functional teams to integrate quantum solutions into existing cloud platforms
  • Publish peer-reviewed research and present findings at top-tier conferences (IEEE, Nature Quantum)
  • Secure research funding through competitive grants and industry partnerships
  • Mentor junior researchers and develop next-generation quantum education programs

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years hands-on experience with quantum programming languages (Qiskit, Cirq, Q#)
  • Deep expertise in quantum error correction and fault-tolerant architectures
  • Proven track record of publishing high-impact quantum computing research
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with superconducting or trapped-ion quantum systems
  • Excellent communication skills with ability to translate complex concepts for diverse audiences

Required Skills

Quantum Computing Qiskit Cirq Q# Quantum Error Correction Superconducting Qubits Trapped-Ion Systems Quantum Algorithms AI Optimization Peer-Reviewed Research

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