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NVIDIA

Senior Software Engineer, AI Agent Platforms

NVIDIA

Software Engineer building AI agents to solve engineering problems in NVIDIA's networking stack. Driving AI adoption and implementing innovative solutions across various teams.

Posted 7/20/2026full-timeYokneam • 🇮🇱 IsraelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building AI agents and platforms that enhance networking solutions, with a strong focus on evaluation pipelines and agentic workflows. Possesses a solid foundation in software development and a commitment to driving AI adoption across teams.

Highest-signal resume keywords
AI Agent DevelopmentNetworking ArchitectureSoftware DevelopmentEvaluation Pipeline DesignStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software DevelopmentAI WorkflowsCloud ServicesNetworking StackEvaluation MethodsTyped Tool SurfacesLarge-Scale Software ProductEnd-to-End OwnershipRapid AI AdoptionProblem Solving
Soft Skills
Fast LearnerStrong Communication Skills
Certifications & Qualifications
BSc in Computer Science
Industry Keywords
AI AdoptionAgentic WorkflowsEngineering ProblemsProduction WorkloadsBest PracticesGuardrails

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Build AI agents that solve real engineering problems across the networking stack — and ship them to daily use.
  • Design and build the platforms that make those agents reliable: typed tool surfaces, cloud services, and the systems behind them.
  • Work broadly across networking architecture teams to identify high-impact AI use cases and turn them into working solutions.
  • Drive rapid and responsible AI adoption across the organization: establish best practices, guardrails, and evaluation methods so teams embrace agentic workflows with confidence.
  • Build evaluation pipelines that measure and improve AI-agent behavior on real production workloads.

Requirements

What you’ll need
  • BSc in Computer Science or a related field, or equivalent experience.
  • 5+ years of relevant practical experience in software development, including working on a large-scale software product.
  • Advanced, demonstrable use of AI and agentic workflows in your daily engineering work well beyond standard coding assistant usage.
  • A fast learner, comfortable moving across codebases, domains, and teams.
  • A drive for end-to-end ownership and strong communication skills.

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development