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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect

QuantumLeap Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of 2026 technology innovation! We're seeking a visionary Future Systems Architect to design next-generation quantum-AI hybrid platforms that will redefine computational boundaries. This role combines cutting-edge research with practical implementation in our state-of-the-art Austin R&D center. You'll collaborate with Nobel laureates and industry pioneers to build solutions for climate modeling, personalized medicine, and autonomous systems. Our culture values radical innovation, sustainable development, and work-life integration through our 4-day work week program.

Responsibilities

  • Architect quantum-AI integration frameworks for 2026-era computational challenges
  • Lead cross-functional teams in prototyping next-gen neural processing units
  • Design fault-tolerant systems for real-time climate modeling and prediction
  • Develop ethical AI governance protocols for autonomous decision-making systems
  • Optimize quantum-resistant encryption for 6G communication networks
  • Collaborate with bioengineering teams on personalized medicine simulation platforms
  • Drive patent strategy for breakthrough quantum machine learning algorithms

Qualifications

  • PhD in Quantum Computing, AI Systems, or Computational Physics
  • 5+ years experience in high-performance distributed systems architecture
  • Published research in Nature/Science on quantum-AI hybrid systems
  • Proficiency in Qiskit, Cirq, and TensorFlow Quantum frameworks
  • Expertise in superconducting qubit manipulation and error correction
  • Strong background in ethical AI development and bias mitigation
  • Patent portfolio with at least 3 quantum computing innovations
  • Experience with federated learning across quantum-classical networks

Required Skills

Quantum Computing AI Architecture Machine Learning High-Performance Systems Neural Processing Cryptography Ethical AI Distributed Computing

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