VLSI Design Automation Software Engineer

NVIDIA

. Architect and build the software platform behind NVIDIA's compute infrastructure for reliable, efficient, self-service access at scale .

Posted 11/9/2026full-timeTel Aviv • IsraelJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in building and maintaining software platforms for infrastructure, with strong capabilities in Python, Linux, and AI agent development. Proficient in CI/CD practices, data-driven decision-making, and collaboration across global teams.

Highest-signal resume keywords

Python ProgrammingAI Agent DevelopmentLinux System AdministrationHPC and DevOps ExperienceCI/CD Pipeline Management

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills

Software ArchitectureData Pipeline DevelopmentCode Review PracticesDebugging SkillsData Structures and AlgorithmsSQL ProficiencyPerformance TuningShell ScriptingGraph TheoryData Modeling

Soft Skills

Self-MotivatedProactive Problem SolvingClear CommunicationMentoring

Tools & Technologies

BazelGitAnsiblePrometheusGrafanaIBM LSFSlurmNFSP4PythonEDA Tools

Industry Keywords

Infrastructure SoftwareBackend ServicesDeveloper ToolsCompute InfrastructureCapacity Planning

Tech Stack

Tools & technologies

AnsibleGrafanaLinuxNFSPerlPrometheusPythonShell ScriptingSQLC++

About the role

Key responsibilities & impact

Architect and build the software platform behind NVIDIA's compute infrastructure for reliable, efficient, self-service access at scale
Build data pipelines, analytics and applications to monitor infrastructure usage and performance
Use data for capacity planning, efficiency improvements and organizational decisions
Develop AI agents to diagnose failed jobs, analyze logs and handle routine engineering requests
Work with physical design engineers across geographies, debug job, storage and license issues, and convert recurring problems into automated checks, self-service tools and permanent fixes
Own software end to end, including architecture, data storage, UI, testing, CI/CD, deployment and maintenance
Apply code review and reproducible-build practices
Collaborate across time zones with NVIDIA Design Automation teams worldwide to roll out infrastructure software
Mentor newer team members

Requirements

What you’ll need

B.Sc. or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering or a related field, or equivalent experience
Hands-on experience with AI agents, including agentic workflows, LLM APIs, tool calling or MCP, or productivity gains from AI coding assistants
2–6 years of experience building and running production software, ideally infrastructure, backend services or developer tools
Strong Python skills and solid software engineering fundamentals: design, testing, code review and debugging
Strong Linux skills, including shell scripting and debugging problems across many users and hosts
Self-motivated and proactive; able to see problems through to resolution and communicate clearly with engineers across sites and time zones under deadline pressure
HPC and DevOps experience, including job schedulers such as IBM LSF or Slurm, NFS or parallel file systems, performance tuning at scale, CI/CD pipelines, containers, Ansible, and Prometheus/Grafana monitoring
Experience with Bazel, Perforce, P4Python, and Git
Strong grasp of data structures and algorithms, especially graph theory, plus SQL, data modeling, dashboards and data-driven decisions
Experience with C++, Tcl or Perl, and exposure to EDA tools or chip design flows

Benefits

Comp & perks

Equal opportunity employment principles
Reasonable accommodations/adjustments for qualified individuals with disabilities