Job Description
Join Nexus Labs at the forefront of 2026's AI revolution! We're seeking a visionary AI Infrastructure Architect to design next-gen systems that will power humanity's most transformative technologies. This role demands a blend of deep technical expertise and strategic foresight to build scalable, resilient infrastructure for emerging AI paradigms. You'll collaborate with quantum computing specialists and neuro-symbolic AI researchers to pioneer solutions that will define the next decade.
What You'll Achieve:
• Architect fault-tolerant systems supporting AGI development
• Lead cross-disciplinary teams in deploying hybrid quantum-classical computing frameworks
• Pioneer energy-efficient neural network training methodologies
Responsibilities
- Design and implement distributed AI infrastructure supporting 10,000+ GPU clusters
- Develop quantum-classical hybrid computing architectures for real-time inference
- Create automated MLOps pipelines for federated learning across global data centers
- Optimize hardware-software co-design for neuromorphic processors
- Establish security protocols for quantum-resistant AI models
- Mentor junior engineers in next-gen system design principles
Qualifications
- 8+ years in high-performance computing with 5+ years in AI infrastructure
- Expertise in Kubernetes, Spark, and distributed ML frameworks
- PhD or equivalent in Computer Science/Engineering with quantum computing focus
- Published research in IEEE/ACM on scalable AI systems
- Experience with liquid-cooled supercomputing deployments
- Proficiency in Rust for low-level system optimization