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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer the next wave of quantum computing and artificial intelligence integration. We're seeking visionary Quantum AI Research Scientists to develop groundbreaking algorithms that will redefine computational boundaries by 2026. Collaborate with world-class physicists and machine learning experts in our state-of-the-art Austin facility, where you'll leverage cutting-edge quantum hardware to solve previously unsolvable problems in cryptography, materials science, and autonomous systems.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for real-world applications
  • Develop hybrid quantum-classical computing frameworks for enterprise solutions
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish breakthrough research in top-tier scientific journals and conferences
  • Secure competitive research funding through grant proposals and industry partnerships
  • Mentor junior researchers and foster cross-disciplinary innovation

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
  • Expertise in quantum algorithms, quantum machine learning, or quantum cryptography
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane)
  • Strong publication record in quantum computing or AI research
  • Demonstrated experience with high-performance computing environments
  • Deep understanding of quantum hardware limitations and optimization techniques
  • Ability to translate complex quantum concepts into practical business applications

Required Skills

Quantum Computing Machine Learning Python Qiskit Cirq Quantum Algorithms Cryptography High-Performance Computing Research Methodology Scientific Publishing

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