NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a Senior Software Engineer focused on container engineering and Kubernetes. You will help design and implement our core infrastructure strategy for NVIDIA Inference Microservices (NIMs) and our hosted services. You will build enterprise-grade software and tooling for container build, packaging, and deployment. You will help improve reliability, performance, and scale across thousands of GPUs. There is much more to build ahead, including support for disaggregated LLM inference and other emerging deployment patterns.

What you'll be doing:

• 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.

What we need to see:

• 5+ 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.

• A degree in Computer Science, Computer Engineering, or a related field (BS or MS) or equivalent experience.

Ways to stand out from the crowd:

• Experience implementing or contributing to next‑generation container build systems and frameworks.

• Proven track record delivering secure supply chain: SBOM (SPDX/CycloneDX), signing (cosign), scanning, vulnerability management, policy (OPA/Gatekeeper/Kyverno).

• Expertise with Helm chart design systems, Operators, and platform APIs serving many teams.

• 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.

We are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and creative people in the world working for us. If you're creative and autonomous with a real passion for technology, we want to hear from you.