[Remote] Senior Software Engineer - NIM Factory Container and Cloud Infrastructure
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.
Responsibilities
- Design, build, and harden containers for NIM runtimes, inference backends; enable reproducible, multi-arch, CUDA-optimized builds
- Develop Python tooling and services for build orchestration, CI/CD integrations, Helm/Operator automation, and test harnesses; enforce quality with typing, linting, and unit/integration tests
- Help design and evolve Kubernetes deployment patterns for NIMs, including GPU scheduling, autoscaling, and multi-cluster rollouts
- Optimize container performance: layer layout, startup time, build caching, runtime memory/IO, network, and GPU utilization; instrument with metrics and tracing
- Evolve the base image strategy, dependency management, and artifact/registry topology
- Collaborate across research, backend, SRE, and product teams to ensure day-0 availability of new models
- Mentor teammates; set high engineering standards for container quality, security, and operability
Skills
- A degree in Computer Science, Computer Engineering, or a related field (BS or MS) or equivalent experience
- 6+ years building production software with a strong focus on containers and Kubernetes
- Strong Python skills building production-grade tooling/services
- Experience with Python SDKs and clients for Kubernetes and cloud services
- Expert knowledge of Docker/BuildKit, containerd/OCI, image layering, multi-stage builds, and registry workflows
- Deep experience operating workloads on Kubernetes
- Hands-on experience building and running GPU workloads in k8s, including NVIDIA device plugin, MIG, CUDA drivers/runtime, and resource isolation
- Excellent collaboration and communication skills; ability to influence cross-functional design
- Expertise with Helm chart design systems, Operators, and platform APIs serving many teams
- Experience 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 scale
- Prior experience designing multi-tenant, multi-cluster, or edge/air-gapped container delivery
- Contributions to open-source container, k8s, or GPU ecosystems
Benefits
- Equity
- Benefits
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