Senior Software Engineer - NIM Factory Container and Cloud Infrastructure

at Nvidia
📍 Santa Clara, United States
USD 184,000-356,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 4 Docker @ 4 Kubernetes @ 4 Python @ 4 CI/CD @ 4 Communication @ 6 Helm @ 4 SRE @ 4 Microservices @ 4 API @ 4 LLM @ 4 CUDA @ 4 GPU @ 4

Details

NVIDIA is seeking a Senior Software Engineer focused on container and cloud infrastructure to design and implement the core container strategy for NVIDIA Inference Microservices (NIMs) and hosted services. You will build enterprise-grade software and tooling for container build, packaging, and deployment, and help improve reliability, performance, and scale across thousands of GPUs. Work includes support for disaggregated LLM inference and other emerging deployment patterns.

Responsibilities

  • Design, build, and harden containers for NIM runtimes and inference backends; enable reproducible, multi-architecture, 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 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 and set high engineering standards for container quality, security, and operability.

Requirements

  • BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience.
  • 6+ years building production software with a strong focus on containers and Kubernetes.
  • Strong Python skills for building production-grade tooling and 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 Kubernetes, including NVIDIA device plugin, MIG, CUDA drivers/runtime, and resource isolation.
  • Excellent collaboration and communication skills; ability to influence cross-functional design.

Ways to Stand Out

  • Expertise with Helm chart design systems, Operators, and platform APIs serving many teams.
  • Experience with OpenAI API, Hugging Face API and an understanding of different 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, Kubernetes, or GPU ecosystems.

Benefits and Compensation

  • Competitive base salary, equity eligibility, and benefits. Base salary ranges provided by level:
    • Level 4: 184,000 USD - 287,500 USD
    • Level 5: 224,000 USD - 356,500 USD
  • Eligible for equity and NVIDIA benefits (see NVIDIA benefits page).

Other Information

  • Applications accepted at least until September 14, 2025.
  • NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment. The company does not discriminate based on protected characteristics.