memory-systems jobs in San Diego

Design and architect RISC-V System-on-Chip (SoC) platforms, leveraging deep expertise in heterogeneous compute, interconnect, memory systems, security, and power management. Develop and improve analysis tools including functional/performance simulators and profilers using C++ and Python.…See more Apply systems engineering rigor to define SoC-level architectures across boot, debug, timebase management, and real-time control components. Candidates should have 4+ years of systems engineering or SoC/IP architecture experience and demonstrate proficiency in behavioral/performance modeling and analytical techniques.

Design and architect mobile SoC and chipset products, managing trade-offs across CPUs, GPUs, DSPs, AI engines, memory systems, and power grids. Lead cross-functional collaboration with core IP, hardware design, software, and product teams to define roadmaps and align development plans.…See more Communicate architectural analyses and strategic recommendations to technical and executive stakeholders. Drive innovation through top-down problem-solving and patent-eligible technical solutions.

This Staff AI Engineer role focuses on architecting and implementing secure, scalable frameworks for autonomous AI agents at enterprise scale. The engineer will lead the technical roadmap for agent management—from provisioning and orchestration to compliance and retirement—while ensuring AI agents are secure by design with built-in visibility and guardrails.…See more The role requires 8+ years of software architecture and backend systems experience, deep knowledge of autonomous agent frameworks (LangChain, AutoGen, CrewAI), and expertise in cloud infrastructure (AWS, Azure, GCP) and Kubernetes. You'll collaborate cross-functionally with researchers, platform engineers, and product teams to bring agentic AI capabilities to production while establishing best practices for agent safety, observability, and ethical deployment.

This Staff AI Engineer role focuses on architecting and implementing secure, scalable frameworks for autonomous AI agents at enterprise scale. You'll lead the technical roadmap for agent management—from discovery and provisioning through task orchestration—while ensuring safety, compliance, and governance by design.…See more Working cross-functionally with product, platform, and research teams, you'll build foundational infrastructure for multi-agent collaboration, memory management, and extensibility, driving adoption across the enterprise. The role requires 8+ years in software architecture, backend systems, and Kubernetes/AI infrastructure, with deep expertise in LLM frameworks (LangChain, AutoGen, CrewAI), cloud platforms (AWS, Azure, GCP), and identity/access control patterns.