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Quantum AI Researcher 2026

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next generation of AI systems. Our Austin-based innovation hub seeks visionary Quantum AI Researchers to develop revolutionary algorithms that will redefine human-machine interaction by 2026. This role offers unparalleled resources to explore quantum computing, neural networks, and autonomous systems in a collaborative environment.

As a key member of our Future-Tech Division, you'll work alongside Nobel laureates and industry disruptors to solve humanity's most complex challenges. We provide competitive benefits, cutting-edge lab facilities, and flexible work arrangements to fuel your breakthrough potential.

Responsibilities

  • Design and implement quantum machine learning models for 2026-era autonomous systems
  • Lead cross-functional teams in developing next-gen AI frameworks with 99.9% accuracy
  • Conduct advanced research in quantum neural networks and probabilistic computing
  • Collaborate with hardware engineers to optimize quantum-AI hybrid architectures
  • Publish breakthrough findings in top-tier journals and industry whitepapers
  • mentor junior researchers through our Future-Tech Accelerator program

Qualifications

  • PhD in Quantum Computing, Machine Learning, or equivalent experience
  • 5+ years in AI research with proven publication record (Nature/Science preferred)
  • Expertise in quantum algorithms, tensor networks, and probabilistic programming
  • Proficiency in Python, Qiskit, TensorFlow Quantum, and Cirq frameworks
  • Experience with distributed computing on AWS/Azure quantum platforms
  • Strong background in theoretical physics and computational complexity
  • Portfolio demonstrating 3+ industry-disrupting AI projects

Required Skills

Quantum Computing Machine Learning Neural Networks Python Qiskit TensorFlow Quantum AWS Quantum Research AI Ethics

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