NVIDIA · 2 hours ago
Senior Software Engineer - NIM Factory Container and Cloud Infrastructure
United States
Full-time
Remote
Senior Level, Lead/Staff
$184K/yr - $288K/yr
10+ years expNVIDIA 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 for NVIDIA Inference Microservices and build enterprise-grade software and tooling for container deployment.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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
Qualification
Required
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
A degree in Computer Science, Computer Engineering, or a related field (BS or MS) or equivalent experience
Preferred
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
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
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Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
Straits Times
2026-02-05
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