AI Infrastructure Architect

Silicon Valley, CA (Hybrid)
· Senior / Lead

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

• Architect Maxta
  
  OS core systems: GPU resource management, multi-tenant scheduling, hardware abstraction layer
• Design Max Model 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 Maxta
  
  OS + Max Model 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 (Torch Serve, Triton, vLLM, or similar)
• Familiarity with edge computing platforms (NVIDIA Jetson, ARM
  64 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)
• Conference budget + continuous learning