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Quantum AI Research Scientist - 2026 Vision

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Dynamics at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Scientist to pioneer the next generation of hybrid quantum-computing intelligence systems. You'll architect breakthrough solutions in autonomous systems, climate modeling, and personalized medicine while collaborating with Nobel laureates in our Austin Innovation Hub.

Our lab offers unparalleled resources: 128-qubit quantum processors, exascale computing clusters, and $50M annual R&D funding. We champion agile methodologies and offer unlimited PTO, equity grants, and relocation packages for exceptional talent. Shape humanity's digital future while advancing your career in an environment where 90% of projects transition to production.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for 2026-era autonomous systems
  • Lead cross-functional research teams in developing climate modeling solutions with 99.9% prediction accuracy
  • Architect hybrid quantum-classical computing frameworks for personalized medicine applications
  • Author 3+ peer-reviewed publications/year in Nature/Science journals
  • Secure $2M+ in DARPA/NSF grants for frontier AI research
  • Mentor PhD candidates in quantum-computing ethics and safety protocols

Qualifications

  • PhD in Quantum Computing, AI, or Computational Physics with 5+ years industry experience
  • Published research in top-tier quantum/AI conferences (NeurIPS, QIP)
  • Expertise in Qiskit, Cirq, or quantum circuit optimization
  • Proven track record deploying production-grade ML systems at scale
  • Deep understanding of quantum error correction and fault tolerance
  • Strong background in tensor networks and quantum neural networks
  • Experience with high-performance computing (HPC) frameworks

Required Skills

Quantum Computing Machine Learning Qiskit Cirq Tensor Networks HPC Python R TensorFlow PyTorch

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