Staff Software Engineer AI/ML

Experteer Overview In this role you will design and optimize the AI-enabled design and compute infrastructure that powers Samsung’s semiconductor R&D. You’ll shape company-wide AI tooling, collaborating with researchers and engineers to deploy robust, scalable agentic AI solutions. Expect to tackle performance, cost, and latency challenges across multi-domain workloads. This is a hands-on leadership role that drives AI adoption and practical impact across the organization. Compensation / Benefits * Design, build, and productize agentic AI applications spanning prototype to production and operation * Architect multi-agent systems with frameworks like LangGraph, LangChain, AutoGen, or CrewAI, including orchestration and memory management * Establish evaluation frameworks, metrics, benchmarks, and regression harnesses for agentic/multimodal systems * Drive quality, cost, and latency trade-offs using data to meet product requirements within compute and memory budgets * Optimize inference on accelerated hardware via quantization, batching, caching, and hardware-aware deployment * Identify and solve AI acceleration challenges, including memory bottlenecks and hardware architecture considerations * Collaborate with researchers and developers to enable cutting-edge ML work and optimize system performance Tasks * BS with 10+ years, MS with 8+ years, or PhD with 5+ years in Computer Science, Electrical Engineering, or related field * Proven deployment/operation of LLM- or vision-powered systems with strong evaluation and safe rollout practices (A/B testing, canary releases) * Hands-on experience with agentic AI frameworks (LangGraph, CrewAI, ADK) and multi-agent patterns * Experience with LLM inference optimization and serving (vLLM, TensorRT-LLM) including quantization and KV-cache management * Strong Python and C/C++, with deep PyTorch/TensorFlow experience and large-scale distributed systems * Preferred: MLops exposure, AI acceleration hardware experience, understanding of PPA trade-offs Key requirements * 4+ weeks paid time off * medical/dental/vision/401k * charitable giving match * emotional wellness support and therapy * onsite cafe and gym * flexible environment

on accelerated hardware via quantization, batching, caching, and hardware-aware deployment * Identify and solve AI acceleration challenges, including memory bottlenecks and hardware architecture considerations * Collaborate with researchers and developers to enable cutting-edge ML work and optimize system performance Tasks * BS with 10+ years, MS with 8+ years, or PhD with 5+ years in Computer Science, Electrical Engineering, or related field * Proven deployment/operation of LLM- or vision-powered systems with strong evaluation and safe rollout practices (A/B testing, canary releases) * Hands-on experience with agentic AI frameworks (LangGraph, CrewAI, ADK) and multi-agent patterns * Experience with LLM inference optimization and serving (vLLM, TensorRT-LLM) including quantization and KV-cache management * Strong Python and C/C++, with deep PyTorch/TensorFlow experience and large-scale distributed systems * Preferred: MLops exposure, AI acceleration hardware experience, understanding of PPA

trade-offs Key requirements * 4+ weeks paid time off * medical/dental/vision/401k * charitable giving match * emotional wellness support and therapy * onsite cafe and gym * flexible environment