Transform Hardware Engineering

Hardware Engineering

SeniorSoftwareAIEngineer,LLMSolutions

Yokneam, Israel FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software AI Engineer, LLM Solutions at Transform Hardware Engineering. Skills: Software AI Engineering, LLM Solutions, Agentic workflows, AI/ML integration, UX/UI development, System architecture. Architect, develop, and support end-to-end software tools across the full engineering stack—from robust backend services and data processing to intuitive, user-centric interfaces. Design and implement agentic workflows—building multi-step, tool-using AI agents integrated into software platforms ”

What You'll Achieve.

accelerating issue resolution; improving product reliability

Industry & Context.

Hardware Engineering
Problems you'll solve

analytical and problem-solving skills; optimize complex software systems

What They're Looking For.

Must Have

5+ years of experience in software engineering, proven track record of developing complex Client-Server applications, proficiency in Web technologies (e. g. , React, Angular, Vue, or similar), solid UX/UI mindset for building intuitive, interactive user interfaces, Python skills, experience in integrating AI/ML solutions into production software environments, Solid understanding of software architecture and system-level design (APIs, services, and data flow), Hands-on experience with Linux, Git, and containerization (e. g. , Docker, Kubernetes), analytical and problem-solving skills, eagerness to learn and optimize complex software systems

Nice to Have

Experience with full-stack or frontend web development, particularly building internal tools or dashboards using React, Hands-on experience designing and implementing agentic workflows (e. g. , LangChain, LangGraph, AutoGen, or similar frameworks), Experience with LLM fine-tuning, prompt engineering, or RAG pipelines, Familiarity with hardware debugging, observability/logging systems, or chip/system reliability analysis, Experience with vector databases (FAISS, Pinecone, Milvus) or MLOps tools (MLflow, Kubeflow)

What You'll Do.

and support end-to-end software tools across the full engineering stack—from robust backend services and data processing to intuitive

user-centric interfaces

Design and implement agentic workflows—building multi-step

tool-using AI agents integrated into software platforms to enable autonomous reasoning and action

Build and maintain scalable data pipelines and ETL flows for logs and telemetry data to support intelligent automation and AI/ML workflows

ensure these advanced technologies are delivered through a cohesive system architecture and a superior user experience

Full Job Description

Our System Design Automation team is looking for an experienced Software Engineer with a passion for UX/UI and AI integration to join our engineering group. We are seeking a versatile developer who excels at building intuitive, user-centric software platforms and has a proven ability to seamlessly embed AI/ML solutions into production-ready tools. The team develops and sustains a range of capabilities for NVIDIA's next-generation hardware platforms—bridging traditional software engineering with with AI-based automation and intelligent debugging solutions. Your role will be to ensure these advanced technologies are delivered through a cohesive system architecture and a superior user experience, accelerating issue resolution and improving product reliability for the world's most advanced GPU and data center technologies **What You 'll Be Doing:** * Architect, develop, and support end-to-end software tools across the full engineering stack—from robust backend services and data processing to intuitive, user-centric interfaces. * Design and implement agentic workflows—building multi-step, tool-using AI agents integrated into software platforms to enable autonomous reasoning and action. * Build and maintain scalable data pipelines and ETL flows for logs and telemetry data to support intelligent automation and AI/ML workflows. **What We Need to See:** * B.Sc. or M.Sc. in Computer Science, Electrical/Computer Engineering, or equivalent practical experience. * 5+ years of experience in software engineering, with a proven track record of developing complex Client-Server applications. * Strong proficiency in Web technologies (e.g., React, Angular, Vue, or similar) and a solid UX/UI mindset for building intuitive, interactive user interfaces. * Strong Python skills and experience in integrating AI/ML solutions into production software environments. * Solid understanding of software architecture and system-level design (APIs, services, and data flow). * Hands-on experience with

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