Senior Infrastructure Engineer - AI, Automation, Observability and Monitoring

NVIDIA•Santa Clara, CA

10d•$200,000 - $322,000

About The Position

NVIDIA is seeking a Senior Infrastructure Engineer to contribute to innovative infrastructure solutions and optimize operations using new technology, including agentizing workflows and building agents for different infrastructure domains. The role involves understanding complex engineering challenges, creating effective solutions, and implementing projects end to end. The engineer will lead the design, development, and deployment of software solutions; architect systems for performance, scalability, and reliability; collaborate with cross-functional teams; and promote software development practices such as code reviews, testing, and continuous integration. The role also includes exploring new technologies and mentoring junior engineers. The expected base salary range is USD 200,000–322,000, determined by location, experience, and other objective job-related factors. The position is also eligible for equity and benefits. Applications will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to an inclusive work environment.

Requirements

12 or more years of demonstrable experience in software engineering, with a focus on team leadership and project management.
A proven track record of crafting and implementing software solutions that solve complex business problems.
Expertise in programming languages such as C++, Python, and Java, and a deep understanding of software development principles.
Ability to write agents, skills, and harnesses using Claude and Codex.
Experience coding integrations with tools such as BigPanda, ITMP, and Prometheus.
A proven track record in automation, software development, and delivery.
Experience working with Fortune 500 companies across diverse industries.
A master’s or Ph.D. in a relevant field such as Computer Science or Software Engineering, or equivalent experience.

Nice To Haves

Proficiency with new technologies such as AI, machine learning, and data-driven solutions.
Demonstrated ability to develop innovative and effective solutions using advanced software engineering techniques.
Outstanding team leadership and mentoring skills, with a passion for fostering a collaborative and innovative environment.

Responsibilities

Lead the design, development, and deployment of software solutions, ensuring execution and adherence to industry standards.
Architect and implement software systems that meet performance, scalability, and reliability requirements.
Collaborate with cross-functional teams to determine project requirements.
Provide mentorship and encourage an inclusive, collaborative team culture.
Promote software development practices such as code reviews, testing, and continuous integration.
Explore and integrate new technologies and methodologies to improve engineering capabilities.
Mentor and guide junior engineers, supporting continuous learning and growth.
Develop agents, skills, and harnesses using Claude and Codex.
Code integrations with tools such as BigPanda, ITMP, and Prometheus.
Automate and deliver software solutions.