NVIDIA | NVIDIA

Senior Software Engineer, Infrastructure and Tooling Lead - Automation

Full-time · US, CA, Santa Clara
✓ Verified live on the employer's own system · added 2 days ago
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Senior · 8+ yrs exp

Requirements

Education: Bachelor's degree

Experience: 8+ years

Skills & tools

OperationsMachine LearningDevopsProgrammingTeam LeadershipElectricalPythonC Plus Plus
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Full job description

- 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.

- 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.

- Experience building engineering efficiency platforms or automation infrastructure for large-scale software organizations.

- Experience with test automation, validation infrastructure, build systems, release workflows, or developer experience tooling.

- Familiarity with embeddings, vector search, RAG, model evaluation, agent orchestration, or LLM workflow frameworks.

- Strong background in Linux, containers, Kubernetes, cloud or on-prem infrastructure, and distributed systems.

- Prior experience leading a small technical team or serving as a technical lead for multi-functional infrastructure projects.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

Applications for this job will be accepted at least until August 10, 2026.

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