AI Infrastructure Architect

As Maxta's AI Infrastructure Architect, you will design and build the core architecture of MaxtaOS and MaxModel — our enterprise AI operating system and model governance platform.

You will lead the technical vision for heterogeneous GPU abstraction, intelligent compute scheduling, and model deployment pipelines that serve Fortune 500 enterprises.

What You Will Do

• Architect MaxtaOS core systems: GPU resource management, multi-tenant scheduling, hardware abstraction layer
• Design MaxModel registry and deployment pipeline: model packaging, version control, A/B testing infrastructure
• Lead integration with edge computing platforms (Jetson, custom CUDA kernels)
• Define API contracts and system boundaries across the MaxtaOS + MaxModel stack
• Mentor engineering team on distributed systems best practices

• 8+ years in distributed systems, infrastructure, or platform engineering
• Deep expertise in GPU computing (CUDA, multi-GPU scheduling, heterogeneous hardware)
• Production experience with Kubernetes, container orchestration, or custom scheduling systems
• Strong background in Python, Go, or C++ for systems programming
• Experience with ML model serving (TorchServe, Triton, vLLM, or similar)
• Familiarity with edge computing platforms (NVIDIA Jetson, ARM64 deployment)
• Excellent system design and technical documentation skills

• Competitive salary + equity in a pre-IPO AI infrastructure company
• Work directly with the CEO on cutting-edge AI systems
• Backed by Andreessen Horowitz and Intel Capital
• 100+ patents portfolio — real deep-tech, not wrapper products
• Flexible hybrid work model (Silicon Valley + remote)
• Health, dental, vision + 401K matching
• Conference budget + continuous learning