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Quantum AI Researcher - 2026 Vision

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum computing and artificial intelligence for 2026. We're seeking visionary researchers to develop next-gen AI systems that will redefine industries. Our Austin-based hub offers unparalleled resources and collaborative freedom to transform theoretical concepts into reality.

As a key architect of our 2026 roadmap, you'll work alongside Nobel laureates and industry disruptors in a culture that values audacious innovation. We offer competitive equity, flexible work arrangements, and access to cutting-edge quantum hardware.

Responsibilities

  • Design and implement quantum algorithms for next-generation AI systems targeting 2026 deployment
  • Lead research on quantum machine learning models with exponential speed improvements
  • Collaborate with hardware teams to optimize quantum-AI integration protocols
  • Publish breakthrough research in top-tier journals and industry conferences
  • Develop patentable solutions for quantum-resistant cryptography and AI safety
  • Mentor cross-functional teams in quantum computing principles
  • Shape the 2026 technology roadmap through strategic research planning

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field with 3+ years research experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction and fault-tolerant systems
  • Proven track record of publishing in quantum computing or AI research
  • Strong background in machine learning frameworks (PyTorch, TensorFlow)
  • Experience with quantum hardware providers (IBM Quantum, Rigetti, IonQ)
  • Demonstrated ability to translate complex theoretical concepts into practical applications

Required Skills

Quantum Computing Machine Learning Qiskit Q# TensorFlow PyTorch Cryptography Research AI Safety

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