Job Description
Join QuantumLeap Systems at the forefront of technological evolution as we architect the AI infrastructure that will power 2026. We're seeking a visionary AI Infrastructure Architect to design and implement next-generation systems that will drive our next phase of growth. This role combines deep technical expertise with strategic foresight to build scalable, secure, and cutting-edge AI solutions.
As part of our elite Future Technologies Division, you'll work alongside Nobel Prize-winning researchers and industry pioneers to solve humanity's most complex challenges. We offer unparalleled resources, competitive compensation, and the opportunity to shape the technological landscape for the decade ahead.
Responsibilities
- Design and implement scalable AI/ML infrastructure supporting 2026-era computational models
- Architect quantum-classical hybrid computing environments for next-gen AI workloads
- Lead security protocols for federated learning systems across distributed networks
- Optimize neural network deployment on edge-to-cloud architectures
- Develop real-time model monitoring frameworks for autonomous systems
- Collaborate with research teams to translate theoretical breakthroughs into production-ready systems
- Mentor junior engineers in emerging AI infrastructure paradigms
Qualifications
- 10+ years in AI/ML infrastructure architecture with quantum computing exposure
- Expertise in Kubernetes, TensorFlow, and distributed computing frameworks
- Proven track record designing systems for 100k+ GPU deployments
- PhD or equivalent in Computer Science/Engineering with focus on AI infrastructure
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
- Experience with federated learning and differential privacy protocols
- Certification in AWS/Azure/GCP quantum computing services
- Deep understanding of NIS2 compliance frameworks for AI systems