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2026 AI Research Lead

QuantumLeap Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer the next wave of AI innovation for 2026. We're seeking a visionary 2026 AI Research Lead to architect breakthrough solutions that will redefine human-machine interaction. As a key architect in our Austin R&D hub, you'll collaborate with Nobel laureates and industry disruptors to develop quantum-entangled neural networks and autonomous cognitive systems.

Your work will directly impact global industries—from healthcare diagnostics to climate modeling—through our patented NeuroSynapse platform. We offer competitive equity packages, unlimited R&D budgets, and access to our state-of-the-art quantum computing cluster.

Responsibilities

  • Architect next-gen AI frameworks for 2026 deployment across healthcare, logistics, and energy sectors
  • Lead cross-functional teams in developing quantum-entangled machine learning models
  • Secure $10M+ in federal grants for autonomous cognitive system research
  • Partner with MIT and Stanford on DARPA-funded human-AI symbiosis projects
  • Develop patent-pending neuro-symbolic algorithms for ethical AI governance
  • Present findings at World Economic Forum summits and IEEE conferences
  • Mentor PhD candidates in our FutureAI Fellowship program

Qualifications

  • PhD in Quantum Computing, Neuromorphic Engineering, or equivalent with 8+ years R&D
  • Published 15+ papers in Nature/Science on quantum machine learning
  • Expertise in tensor processing units and neuromorphic hardware
  • Proven track record securing $5M+ in government research grants
  • Proficiency in Python, TensorFlow Quantum, and Cirq frameworks
  • Experience leading teams of 15+ researchers across 3 continents
  • Deep knowledge of EU AI Act and NIST AI Risk Management Framework

Required Skills

Quantum Computing Neuromorphic Engineering AI Ethics Tensor Processing Machine Learning Grant Writing Neuro-Symbolic AI TensorFlow Quantum

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