[Remote] Senior Software Engineer - NIM Factory Container and Cloud Infrastructure

Remote Full-time
Note: The job is a remote job and is open to candidates in USA. NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a Senior Software Engineer focused on container and cloud infrastructure to design and implement core container strategies and build enterprise-grade software for container deployment and tooling.ResponsibilitiesDesign, build, and harden containers for NIM runtimes, inference backends; enable reproducible, multi-arch, CUDA-optimized buildsDevelop Python tooling and services for build orchestration, CI/CD integrations, Helm/Operator automation, and test harnesses; enforce quality with typing, linting, and unit/integration testsHelp design and evolve Kubernetes deployment patterns for NIMs, including GPU scheduling, autoscaling, and multi-cluster rolloutsOptimize container performance: layer layout, startup time, build caching, runtime memory/IO, network, and GPU utilization; instrument with metrics and tracingEvolve the base image strategy, dependency management, and artifact/registry topologyCollaborate across research, backend, SRE, and product teams to ensure day-0 availability of new modelsMentor teammates; set high engineering standards for container quality, security, and operabilitySkillsA degree in Computer Science, Computer Engineering, or a related field (BS or MS) or equivalent experience6+ years building production software with a strong focus on containers and KubernetesStrong Python skills building production-grade tooling/servicesExperience with Python SDKs and clients for Kubernetes and cloud servicesExpert knowledge of Docker/BuildKit, containerd/OCI, image layering, multi-stage builds, and registry workflowsDeep experience operating workloads on KubernetesHands-on experience building and running GPU workloads in k8s, including NVIDIA device plugin, MIG, CUDA drivers/runtime, and resource isolationExcellent collaboration and communication skills; ability to influence cross-functional designExpertise with Helm chart design systems, Operators, and platform APIs serving many teamsExperience with OpenAI API, Hugging Face API as well as understanding difference inference backends (vLLM, SGLang, TRT-LLM)Background in benchmarking and optimizing inference container performance and startup latency at scalePrior experience designing multi-tenant, multi-cluster, or edge/air-gapped container deliveryContributions to open-source container, k8s, or GPU ecosystemsBenefitsEquityBenefitsCompany OverviewNVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com.Company H1B SponsorshipNVIDIA has a track record of offering H1B sponsorships, with 448 in 2026, 1872 in 2025, 1354 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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