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Information Technology 🏢 Full Time ⭐️ Verified

AI & Quantum Computing Research Lead

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary AI & Quantum Computing Research Lead to architect next-generation systems that will redefine industries. This role offers unparalleled opportunities to shape humanity's digital future while working alongside Nobel-caliber scientists in our Austin Innovation Hub.

Our compensation package includes equity grants, comprehensive benefits, and a $20k annual research stipend. Relocation assistance available for exceptional candidates.

Responsibilities

  • Lead cross-functional teams in developing hybrid AI-quantum algorithms for real-world applications
  • Architect scalable quantum neural networks with 10,000+ qubit capabilities
  • Drive innovation in quantum machine learning frameworks for autonomous systems
  • Secure $5M+ in federal research grants through DARPA/NSF partnerships
  • Present breakthrough findings at premier conferences (NeurIPS, QIP)
  • Mentor PhD researchers and publish in Nature/Science journals
  • Collaborate with MIT and Stanford on quantum-AI convergence projects

Qualifications

  • PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
  • 5+ years leading quantum algorithm development with published top-tier papers
  • Expertise in quantum error correction and fault-tolerant architectures
  • Proficiency with Qiskit, Cirq, and quantum cloud platforms (IBM, Rigetti)
  • Proven track record of securing government research funding
  • Deep understanding of quantum supremacy thresholds and NISQ limitations
  • Experience with federated learning and differential privacy frameworks

Required Skills

Quantum Computing AI Research Machine Learning Quantum Algorithms Qiskit Cirq Research Leadership Grant Writing Fault-Tolerant Systems Neural Networks

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