Lead AI Infrastructure Architect - GPU & Edge, Hybrid
Job in
Anaheim, Orange County, California, 92801, USA
Listed on 2026-10-30
Listing for:
Maxta, Inc.
Full Time
position Listed on 2026-10-30
Job specializations:
-
Software Development
Software Architect, AI Engineer (Applied/Software), DevOps
Job Description & How to Apply Below
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.
What You Will Do- Architect MaxtaOS 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 MaxtaOS + 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
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