Senior Solution Engineer

Overview

• NVIDIA is widely considered to be one of the technology world's most desirable employers.
• We have some of the most forward-thinking and hardworking people on the planet working for us.
• If you're creative, passionate, and self-motivated, we want to hear from you! We are looking for an experienced customer-facing software and systems engineer with a strong background in enterprise infrastructure, cloud technologies, virtualization, and Kubernetes.
• The ideal candidate combines hands-on software engineering and troubleshooting with the ability to understand customer requirements, lead technical discussions, and work across engineering teams to deliver practical solutions.
• You will join a team of Solution Engineers focused on NVIDIA Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise-related system software.
• The focus of this role is user-space networking software, containerized services, and management and diagnostic tools, including those used with SONiC and NVIDIA NVOS.
• SW Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% doing R&D-related work.
• In this role, you will apply your experience across software, operating systems, networking, and cloud infrastructure to resolve customer issues and develop capabilities that make future investigations faster and more effective.
• What you'll be doing: Take ownership of enterprise customer issues involving user-space networking software, containerized services, and infrastructure integration across on-premises, cloud, virtualized, and Kubernetes environments, driving investigations from initial engagement through resolution.
• Work directly with customers to understand their architecture, workloads, and operational requirements.
• Lead technical discussions, structure troubleshooting activities, and communicate findings, recommendations, and next steps clearly.
• Collaborate with software, platform, and networking engineering teams to solve user-space issues, analyze service dependencies, configuration, and logs, and validate fixes across relevant software versions and deployment environments.
• Develop software tools and automation that improve the deployment, availability, reliability, and supportability of NVIDIA Enterprise solutions.
• Own the development and ongoing operation of NVEX Networking tools, dashboards and automation pipelines.
• Prioritize improvements, maintain code and test coverage, manage releases and documentation, and automate diagnostic collection, environment preparation, issue reproduction, validation, and reporting to accelerate customer issue resolution.
• Share troubleshooting knowledge, guide engineers through technical reviews, and help customers and internal teams adopt reliable deployment and operational practices.
• What we need to see: BSc in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience across software engineering, systems engineering, or technical solution delivery, including hands-on development and troubleshooting of complex enterprise environments.
• Extensive experience working directly with enterprise customers, translating requirements into technical solutions, leading technical discussions, and communicating effectively with engineering and business stakeholders.
• Strong analytical and problem-solving skills, intellectual curiosity, self-motivation, and the ability to collaborate across technical disciplines and take issues through to resolution.
• A strong software engineering background, including development of tools and automation, source control, code reviews, automated testing, pipeline implementation, and flow/agent automation.
• Hands-on scripting experience.
• Practical experience with cloud and virtualized infrastructure, including compute, virtual networking, hybrid connectivity, deployment, and operations on platforms such as AWS or Azure.
• Hands-on experience with Kubernetes and containerized workloads, including deployment, configuration, monitoring, and troubleshooting of the supporting infrastructure.
• Experience working with Linux and Windows environments and troubleshooting application and service behavior, configuration, logs, resource usage, and network connectivity.
• Ways to stand out from the crowd: Experience deploying, operating, and troubleshooting containerized applications with Docker, Kubernetes/EKS, or ECS, including service lifecycle, configuration, and dependencies.
• A record of developing reusable software tools, scripting, infrastructure as code, and engineering pipelines adopted across teams.
• Experience automating large-scale server or network environments, including provisioning, software and tool deployment, Linux/Windows compatibility matrices, software-version testing, and test-result aggregation.
• Experience implementing centralized logging, monitoring, and reporting with tools to support troubleshooting and operational visibility.
• Experience in production deployments, or complex troubleshooting engagements, together with technical workshops, mentoring, and cross-team collaboration.