Senior Software Engineer - NIM Factory Container and Cloud Infrastructure

About This Role

This role involves building the core container strategy for NVIDIA Inference Microservices (NIMs) and hosted services. You will design and implement enterprise-grade software and tooling for container build, packaging, and deployment, focusing on improving reliability, performance, and scalability across thousands of GPUs.

Responsibilities

• Design, build, and harden containers for NIM runtimes and inference backends, enabling reproducible, multi-arch, CUDA-optimized builds
• Develop Python tooling and services for build orchestration, CI/CD integrations, Helm/Operator automation, and test harnesses, enforcing 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

Requirements

• 10+ 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
• Strong understanding on LLM inference features, including structured output, KV-cache, and LoRa adapter
• 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

Qualifications

• A degree in Computer Science, Computer Engineering, or a related field (BS or MS) or equivalent experience
• 10+ years building production software with a strong focus on containers and Kubernetes

Nice to Have

• 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

Skills

* Required skills

Benefits