Samsung Semiconductor

Develop and optimize trace-driven power and thermal simulation engines that integrate power models, workload traces, and thermal solvers. This onsite San Jose role focuses on scalable, reproducible simulation infrastructure and advanced hotspot analysis.

Lead the architecture of AI-focused NAND and SSD storage systems by connecting real-world inference workloads to storage, memory-hierarchy, and data-placement innovations. This hands-on technical leadership role spans AI runtimes, Linux storage and networking, SSD firmware, and hardware.

Design and optimize ML compilers that enable high-performance deep learning applications across diverse hardware platforms. This onsite San Jose role combines compiler infrastructure, hardware-software collaboration, and data-locality optimization for next-generation AI/ML systems.

Lead firmware test engineering for NVMe SSDs, developing black-box functional coverage, debugging failures, and addressing customer field issues. This onsite San Jose role combines deep storage-domain expertise with scripting and Linux proficiency.

Lead software–hardware co-design for high-performance AI inference, focusing on memory bottlenecks, LLMs, and agentic AI workloads. This senior technical leadership role combines AI framework development, workload analysis, benchmarking, and architectural influence.

Lead the development of embedded firmware and MAC/physical-layer software for Samsung’s 802.11 WLAN and UWB wireless connectivity chipsets. This onsite San Jose role focuses on low-level C development, protocol features, debugging, and production-quality firmware.

Lead the architecture and development of a large-scale Workbench Platform for interactive AI/ML visual analytics, combining a TypeScript web IDE with Python compute services. This staff-level role owns platform APIs, monorepo delivery, language-server integration, and Kubernetes-based user isolation.

Lead the design and production deployment of agentic AI systems that combine vision and language models with large-scale inference infrastructure. This Staff-level role blends multi-agent architecture, evaluation, and hardware-aware performance optimization for next-generation AI applications.