Senior Software Engineer – Infrastructure and Tooling Lead, Automation

NVIDIA

Senior Software Engineer leading infrastructure and tooling development at NVIDIA, focusing on automation frameworks and developer productivity tools.

Posted 7/28/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $184,000 - $287,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing and developing infrastructure and automation frameworks, with a strong focus on LLM-based workflows and integration with CI/CD systems. Proven ability to provide technical leadership and mentor engineering teams while ensuring high standards in coding and system reliability.

Highest-signal resume keywords

Python ProgrammingLLM-Based Workflow DevelopmentCI/CD IntegrationTechnical LeadershipInfrastructure Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAutomation Systems DevelopmentInfrastructure DesignAPI DevelopmentLinux-Based EnvironmentsBash ProgrammingC ProgrammingC++ ProgrammingWorkflow PlatformsSystems-Level Tooling

Soft Skills

MentoringCross-Team CollaborationTechnical Leadership

Tools & Technologies

CI/CD SystemsSource Control SystemsIssue Tracking SystemsDatabasesDashboardsInternal Engineering Services

Certifications & Qualifications

BS in Computer ScienceMS in Computer ScienceBS in Computer EngineeringMS in Computer EngineeringEquivalent Experience

Industry Keywords

Automation FrameworksDeveloper ToolsLLM WorkflowsError HandlingObservabilityHuman-in-the-Loop Review

Tech Stack

Tools & technologies

LinuxPython

About the role

Key responsibilities & impact

Lead the design and development of infrastructure, automation frameworks, and internal engineering tools.
Build scalable services, APIs, dashboards, workflow engines, and integrations that improve developer efficiency and operational visibility.
Develop LLM-based workflows for triage, summarization, code and log analysis, test workflow assistance, report generation, and knowledge retrieval.
Integrate tooling with CI/CD systems, source control, issue tracking, test infrastructure, dashboards, and internal engineering services.
Define architecture, coding standards, evaluation methods, and reliability practices for automation and LLM-enabled systems.
Mentor engineers, review designs, and provide technical leadership across infrastructure and tooling projects.

Requirements

What you’ll need

BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
8+ years of software engineering experience, with strong hands-on development skills.
Proven experience building infrastructure, automation systems, developer tools, workflow platforms, or internal engineering services.
Strong programming experience in Python, Bash, C, and C++, with experience building infrastructure, automation, and systems-level tooling in Linux-based environments.
Experience designing systems that integrate with CI/CD pipelines, source control systems, issue trackers, databases, APIs, and distributed services.
Hands-on experience developing LLM-based workflows, agents, RAG systems, timely pipelines, or AI-assisted automation tools.
Practical understanding of LLM workflow reliability, including evaluation, guardrails, error handling, observability, and human-in-the-loop review.
Strong technical leadership, architecture ownership, mentoring, and cross-team collaboration skills.

Benefits

Comp & perks

equity
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