AI Infrastructure Architect

AI Infrastructure Architect Maxta, Inc. Silicon Valley, CA Job Details $180,000 - $260,000 a year 18 hours ago Benefits Vision insurance 401(k) matching Qualifications GPU programming System design Machine learning Software documentation Technical writing AI Full Job Description 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 Requirements 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 Benefits 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 Position Details Department Engineering Location Silicon Valley, CA (Hybrid) Type Hybrid Experience Senior / Lead Salary Range $180K - $260K + Equity

GPU/CUDA

Distributed Systems Kubernetes Python Go C++ ML Model Serving Edge Computing System Architecture