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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's AI revolution. We're pioneering next-generation quantum-AI hybrid systems that will redefine computational boundaries. As our Senior AI Engineer, you'll architect breakthrough solutions in autonomous systems and predictive analytics, collaborating with Nobel Prize-winning researchers in our state-of-the-art Austin facility. This role offers unparalleled opportunities to shape the technological landscape of tomorrow while enjoying competitive equity packages and flexible work arrangements.

Responsibilities

  • Lead development of quantum-enhanced machine learning models for real-world applications
  • Design scalable AI infrastructure supporting 50M+ daily user interactions
  • Mentor cross-functional teams in implementing ethical AI frameworks
  • Drive innovation in neuromorphic computing and edge AI deployment
  • Optimize neural networks for energy efficiency in distributed systems
  • Collaborate with product teams to translate technical vision into market-ready solutions
  • Publish research in top-tier AI conferences and contribute to open-source ecosystems

Qualifications

  • PhD or equivalent in Computer Science/AI with 7+ years industry experience
  • Expertise in PyTorch/TensorFlow with production-level model deployment
  • Proven track record in quantum machine learning or neuromorphic systems
  • Strong background in distributed computing and cloud-native architectures
  • Published work in NeurIPS/ICML or equivalent top-tier conferences
  • Experience leading technical teams of 10+ engineers
  • Proficiency in MLOps pipelines and CI/CD for AI systems
  • Deep understanding of ethical AI frameworks and bias mitigation techniques

Required Skills

Quantum Computing Machine Learning PyTorch TensorFlow Distributed Systems Neuromorphic Computing MLOps Python AWS GCP

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