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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we build systems for 2026. We're seeking a visionary Future Systems Architect to design next-generation infrastructure that will power the next decade of innovation. This role combines cutting-edge AI, quantum computing principles, and sustainable tech to create solutions that adapt to tomorrow's challenges.

As a key member of our Innovation Division, you'll work in our state-of-the-art Austin hub alongside Nobel laureates and Turing Award winners. We offer unparalleled resources, flexible work arrangements, and a culture where your ideas shape the future.

Responsibilities

  • Design scalable quantum-resistant architectures for 2026-era applications
  • Lead development of AI-driven autonomous system frameworks
  • Integrate blockchain and decentralized tech into enterprise solutions
  • Optimize systems for energy efficiency and carbon neutrality
  • Collaborate with research teams on neuromorphic computing prototypes
  • Establish ethical AI governance frameworks for autonomous systems
  • Document architecture blueprints using next-gen visualization tools

Qualifications

  • 10+ years in systems architecture with 5+ years in emerging tech
  • Expertise in quantum-resistant cryptography and post-quantum algorithms
  • Deep knowledge of federated learning and distributed AI systems
  • Certification in sustainable architecture (e.g., LEED AP)
  • Experience with neuromorphic computing frameworks (e.g., Loihi, IBM TrueNorth)
  • Strong background in ethical AI development and bias mitigation
  • Published research in IEEE or ACM journals on future systems
  • Proficiency in multi-cloud environments (AWS/Azure/GCP) and edge computing

Required Skills

quantum computing AI architecture post-quantum cryptography neuromorphic systems blockchain ethical AI sustainable tech federated learning

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