עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
The team develops and sustains a range of capabilities for our 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.
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 Linux, Git, and containerization (e.g., Docker, Kubernetes).
Strong analytical and problem-solving skills, with an eagerness to learn and optimize complex software systems.
Ways to Stand Out from the crowd:
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).
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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