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
Company Overview
NVIDIA 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 Sponsorship
NVIDIA 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.