Staff AI/ML Engineer: Agentic Systems & Multimodal AI

Conductor; San Jose (CA); On-site; USD 163,000 - 253,000; Full time

Benefits offered by this job

4+ weeks of PTO

Paid holidays and sick leave

Fertility care or adoption stipend

Medical travel support

Onsite Café and gym

Job summary

Samsung Semiconductor seeks a Senior Staff Engineer to design and optimize the AI/ML design environment and large-scale compute infrastructure supporting its semiconductor design teams. You will standardize shared environments, drive productivity, and establish company-wide policies for licensing and R&D software with a focus on AI/ML workflows.

The role involves building agentic AI systems, evaluating models, and collaborating with researchers to deliver scalable AI solutions across internal

Qualifications

• Experience deploying and operating LLM- or vision-powered systems in production.
• Proven ability to define quality metrics and conduct A/B testing.
• Hands-on expertise with agentic AI frameworks and multi-agent orchestration.
• Experience with model inference optimization and hardware-aware deployment.
• Strong Python and C/C++ skills; experience with PyTorch/TensorFlow.
• Ability to work with researchers and integrate AI workloads.

Responsibilities

• Design, build, and productize agentic AI applications from prototype to deployment.
• Architect multi-agent systems and orchestrate tools and memory.
• Establish evaluation frameworks and metrics for AI systems.
• Optimize performance within compute and memory budgets.
• Collaborate with researchers and developers to advance AI workloads.

Skills

LLM deployment in prod

Agentic AI frameworks

Python and C/C++

PyTorch/TensorFlow

Distributed systems design

Education

BS/MS/PhD in CS/EE or related

Tools

LangGraph

CrewAI

ADK

TensorRT-LLM

vLLM

Job description

Samsung Semiconductor seeks a Senior Staff Engineer to design and optimize the AI/ML design environment and large-scale compute infrastructure supporting its semiconductor design teams. You will standardize shared environments, drive productivity, and establish company-wide policies for licensing and R&D software with a focus on AI/ML workflows.

The role involves building agentic AI systems, evaluating models, and collaborating with researchers to deliver scalable AI solutions across internal