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Senior Software Solutions Engineer

NVIDIA· Engineer, SW
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Pune, Indiafull-timePosted 1w ago

About the role

Senior Software Solutions Engineer to support NVIDIA AI Enterprise customers and deployments across cloud and datacenter environments. Dual role: (1) support, triage and resolve complex customer software issues end-to-end, (2) build software features, automation, diagnostics, reproducible test cases, and deployment tooling to improve product readiness and scale support across enterprise environments.

Responsibilities

  • Develop and maintain product-facing features and deployment assets for AI Enterprise supportability (e.g., scripts, configuration guidance, Kubernetes manifests/Helm charts, and reproducible test cases)
  • Develop and maintain Python-based tooling/automation (validators, log collectors, repro harnesses) to improve NVIDIA AI Enterprise deployment reliability across NGC and container orchestrators (e.g., Kubernetes)
  • Contribute code-level fixes, patches, or pull requests (as appropriate) in collaboration with engineering to address customer-impacting issues and improve product readiness
  • Support enterprise customers deploying NVIDIA AI Enterprise in datacenter and CSP environments, including Kubernetes-based and containerized production AI platforms
  • Take ownership of customer issues from inception to resolution: reproduce in lab/cloud, collect diagnostics, provide mitigations, and partner with engineering on fixes
  • Create high-quality bug reports and RFEs with clear repro steps, environment details (CSP/Kubernetes/GPU), impact analysis, and supporting artifacts
  • Develop customer-facing and internal documentation (KBs, runbooks, deployment guidance) to improve time-to-value and reduce recurring issues
  • Be on call one weekend per month in the event a customer has a Sev1 outage and requires engineering assistance

Qualifications

  • BS in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience)
  • 5+ years system software development and troubleshooting experience, ideally with some customer facing
  • Strong computer science fundamentals and programming/scripting skills (Python required; Bash; Go/C++ a plus) to automate investigations and build diagnostics/repro tools
  • Strong troubleshooting fundamentals (networking, concurrency, OS concepts) and a structured approach to isolating issues across application, platform, and infrastructure layers
  • Deep understanding of at least two of the following: data centers/servers, distributed systems, virtualization, deep learning frameworks, containers (Docker/Kubernetes), hybrid cloud (AWS/Azure/GCP), and CI/CD for reliable deployments
  • Familiarity with GPU-accelerated AI/ML stacks and production model deployment/serving (e.g., NGC containers, CUDA/tooling concepts, inference serving such as Triton or similar)
  • Deep Linux knowledge and comfort troubleshooting in production Linux environments; working knowledge of Windows is a plus
  • Professional-level communication skills, interpersonal skills with a passion to solve problems

Skills

Required:PythonBashLinuxDocker/KubernetesNetworkingCustomer-facing communication
Nice to have:Go/C++GPU-accelerated AI/ML stacks

Benefits

  • Not specified in the description
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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