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AI Research Scientist (2026 Vision)

Nexus Quantum Labs
Austin
Estimated Salary
USD 190.000 – USD 280.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution for 2026. We're pioneering AI-driven quantum computing solutions that will redefine industries. As an AI Research Scientist, you'll architect next-gen neural networks and quantum algorithms in our state-of-the-art Austin facility. Collaborate with Nobel laureates and disrupt paradigms in fields from drug discovery to climate modeling. This isn't just research—it's legacy-building for humanity's technological horizon.

What you'll experience:

  • Revolutionary quantum-AI hybrid infrastructure
  • Unlimited GPU/TPU resources for breakthrough research
  • Equity participation in our 2026 patent portfolio
  • Flexible hybrid work with global collaboration hubs

Responsibilities

  • Design and implement novel quantum-inspired neural architectures for 2026-era challenges
  • Lead cross-continental research teams on 3-year horizon projects
  • Develop proprietary algorithms achieving quantum advantage in classical systems
  • Author white papers for Nature/Science journals on AI-quantum convergence
  • Architect ethical frameworks for autonomous quantum decision systems
  • Secure $2M+ annual research grants from NSF and DARPA partnerships
  • Mentor PhD candidates in our 2026 Fellowship program

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Physics (or equivalent publications)
  • 5+ years developing production-grade AI systems with quantum components
  • Published research in top-tier journals (NeurIPS, QIP, or equivalent)
  • Expertise in TensorFlow Quantum, Cirq, or PennyLane frameworks
  • Proven track record of securing government/industry research funding
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with neuromorphic computing architectures
  • Patents or pending patents in AI or quantum domains

Required Skills

Quantum Computing Machine Learning TensorFlow Quantum Cirq Neuromorphic Computing Research Funding AI Ethics Fault Tolerance

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