דרושים » תוכנה » אקדמאיים /ות לתפקיד Junior AI Engineer

Required Data Science Engineer
About the Team
Our team focuses on delivering cutting-edge, AI-powered automated application security features within our ASPM product. We are a dynamic, agile team emphasizing seamless transitions from design to production, deployment, and ongoing monitoring. We excel at operationalizing machine learning, data science, and AI solutions into robust, secure, and high-performance security capabilities.
What You Will Do
Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, MLOps specialists, and analysts.
Design, build, and optimize end-to-end AI-driven features - from experimentation and model training to validation and deployment.
Develop production-grade code (Python and C#) to integrate advanced models and data-driven capabilities into our core products.
Continuously evaluate model performance and data quality in real-world settings, proactively driving improvements, retraining, and robust monitoring.

We are searching for a forward-thinking Software Engineer to join our VLSI Design Automation Infrastructure team. We are looking for a candidate who looks beyond traditional scripting and is eager to leverage Artificial Intelligence and Machine Learning to revolutionize how we build chips.

In this role, you will manage high-performance compute and storage environments while pioneering the integration of AI-driven tools into our workflows. You wont just maintain the infrastructure; you will modernize it-using LLMs to optimize code, ML to predict compute bottlenecks, and intelligent automation to streamline the backend networking team's success.

What youll be doing:

AI-Driven Optimization: Leverage AI/ML methodologies to analyze compute and storage patterns, predicting resource needs and optimizing LSF grid performance.

Next-Gen Tooling: Design and develop intelligent scripts and automation tools, integrating Generative AI (LLMs) to accelerate debugging and workflow generation.

Infrastructure Management: oversee complex On-Prem environments (LSF) and storage solutions, ensuring maximum uptime for critical VLSI projects.

Data Visualization: Build dynamic, data-driven dashboards that not only report status but utilize analytics to provide actionable insights on infrastructure health.

Our Networking Research group is seeking a forward-thinking Engineering Manager with a product leadership approach to manage a team of Software Engineers, AI Agent Developers, and Researchers.

In this role, you will bridge the gap between brand-new AI research and practical engineering. You will lead the charge in integrating autonomous AI agents into the daily workflows of our architects, hardware designers, and researchers. You will be responsible for understanding internal engineering bottlenecks, researching the latest academic and industry advancements, and translating them into deployed production tools using our AI stack.

What you'll be doing:

Team Leadership & Strategy: Lead and mentor a mixed team of SW engineers and researchers, balancing the agility of research with the responsibility of production software engineering.

Product Engineering: Partner with internal engineering teams (Hardware, Architecture, Research) to analyze their workflows, identify friction points, and architect Agentic AI solutions to accelerate their work.

Applied Research: Actively monitor the latest AI trends, academic papers, and technical blogs (LLMs, Agents, RAG). Translate these insights into concrete features and tools for the team.

Agent Architecture: Be responsible for the design of scalable frameworks for AI agent interaction, ensuring they can reason, plan, and orchestrate tasks within complex engineering environments.

SW-Focused MLOps: Define and implement the software lifecycle for AI models - from fine-tuning to deployment - utilizing our AI deployment tools and ensuring seamless CI/CD.

Production Deployment: Ensure reliable operation of agent fleets, optimizing for latency and resource consumption while maintaining security and access controls.