Senior Software Engineer, Infrastructure and Tooling Lead - Automation
at Nvidia
USD 184,000-356,500 per year
Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Software Development @ 4
Kubernetes @ 7
Linux @ 7
Python @ 7
CI/CD @ 4
Distributed Systems @ 7
Leadership @ 4
Bash @ 7
Mentoring @ 7
API @ 4
Technical Leadership @ 4
LLM @ 4
Observability @ 4
AI @ 4
RAG @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is looking for a senior technical lead to drive infrastructure and tooling development for our Automation team. This role will focus on building scalable internal platforms, automation frameworks, developer productivity tools, and LLM-powered workflows that improve engineering efficiency across complex software development and validation environments.
Responsibilities
- 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
- 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.
Ways To Stand Out
- 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.
Compensation & Other Details
- Base salary ranges: $184,000 - $287,500 USD (Level 4) and $224,000 - $356,500 USD (Level 5).
- Eligible for equity and benefits (see NVIDIA benefits page: https://www.nvidia.com/en-us/benefits/).
- Applications accepted at least until July 6, 2026.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.