MTS, Systems Engineer
Core
Develop, evaluate, and optimize next-generation memory systems for AI accelerators, focusing on hardware architecture, operating systems, and performance analysis for Agentic AI inference workloads.
Role type
Senior IC systems engineer (AI memory systems)
Builds
Tiered memory hierarchies, agentic AI systems, and multi-agent workflows for AI accelerators
Domain
Semiconductor / AI Infrastructure / Memory Systems
Deliverable
production ML models | product features
Required skills
Memory systems, operating systems, distributed systems, parallel computing, C/C++, Python, Linux environments, system-level debugging
Preferred skills
HBM, LPDDR, AI/ML inference workloads, GPU programming (CUDA/OpenCL), Linux kernel memory management, system-level simulation
Technologies
C, C++, Python, Linux, CUDA, OpenCL
Responsibilities
Characterize AI inference workloads and examine memory behavior; Build and evaluate tiered memory hierarchies for AI accelerators; Study KV cache lifecycles, MoE models, and data placement strategies; Compare and optimize explicit versus hardware-assisted data movement; Develop, test, debug, and detail system-level and OS components; Prototype and evaluate agentic AI systems by building agents and multi-agent workflows
Seniority
Senior, hands-on IC
