Principal Software Engineer – Infrastructure
NVIDIA · Santa Clara, United States · 1mo ago
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for a Principal Software Engineer to join our Configuration Management team and define the future of enterprise infrastructure automation, configuration management and operational platforms. This is a deeply technical, hands-on leadership role, you will architect and build foundational software systems that manage infrastructure consistently across compute, storage, networking, data centers, cloud, and hybrid environments. You will establish the multi-year technical direction, identify organization-wide challenges, and drive large-scale transformations from initial strategy through architecture, implementation, production adoption, and measurable outcomes.
What You’ll Be Doing:
Define the multi-year technical vision and architecture for IT infrastructure automation, configuration management, orchestration, and self-service platforms.
Set the technical direction for infrastructure automation and configuration management across technologies such as Ansible Automation Platform, AWX, Salt or equivalent platforms.
Establish the strategy for applying AI to configuration management, including configuration intelligence, drift and compliance analysis, change-risk identification, root-cause assistance, intelligent recommendations, and guarded automated remediation.
Remain deeply hands-on by developing prototypes and production software, reviewing critical code and designs, and resolving the most challenging technical and scalability problems.
Build secure and scalable integrations across infrastructure platforms, cloud services, CMDB, secrets management, observability, and enterprise data systems.
Set and drive configuration management strategy across networking, storage, and compute domains. Bring deep cross-domain technical expertise to identify gaps and challenge current methods. Establish architectures and engineering standards. Lead organizations in implementation and adoption within large-scale environments.
Ensure platforms meet enterprise requirements for availability, scalability, performance, security, disaster recovery, observability, and operational support.
Act as a force multiplier by mentoring senior and staff engineers, raising engineering standards, facilitating architectural decisions, and developing technical leaders across teams.
Partner with engineering and executive leadership to translate critical business challenges into technical strategy, prioritized roadmaps, and measurable business outcomes.
What We Need to See:
15+ years of progressive software engineering experience, with a sustained record of delivering complex, business-critical platforms and distributed systems.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a similar domain, or a Master’s degree or equivalent experience.
Deep knowledge of enterprise configuration management or infrastructure automation using technologies such as Ansible Automation Platform, AWX, Salt or equivalent platforms.
Deep hands-on expertise in Go, Python, Java, or a comparable systems programming language, including APIs, concurrency, distributed systems, testing, debugging, and performance engineering.
Strong hands-on experience in Linux, Kubernetes, containers, cloud and hybrid infrastructure, CI/CD and Infrastructure as Code.
Strong experience developing and implementing enterprise data and automation pipelines using databricks or comparable large-scale data platforms.
Proven experience defining, owning, and evolving the architecture of large-scale infrastructure platforms operating across multiple teams, data centers, or cloud environments.
Demonstrated ability to identify organization-wide business and technical challenges, establish a clear strategy, and drive implementation across teams.
Outstanding communication and technical leadership skills, with a proven ability to build consensus, influence senior leaders, mentor experienced engineers, and lead through ambiguity.
Ways to Stand Out from the Crowd:
Experience in architecting, deploying and managing Ansible Automation Platform at enterprise scale.
Experience developing platforms that manage large global infrastructure fleets across data centers, public clouds, compute, storage, and networking environments.
A history of leading the development and enterprise-wide adoption of an AI-enabled configuration management, infrastructure automation, or autonomous operations platform.
Experience using AI to solve infrastructure challenges such as configuration drift, compliance, change-risk analysis, incident diagnosis, capacity management, predictive operations, or automated remediation.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.