NVIDIA
NVIDIA
NVIDIA ойындарда, деректер орталықтарында, бұлтты есептеулерде, денсаулық сақтауда, өндірісте, автомобиль өнеркәсібінде және робот техникасында қолданылатын жеделдетілген есептеу мен жасанды интеллект технологияларын әзірлейді. Компанияның жұмысы графикалық процессорларды, жасанды интеллект платформаларын, модельдеуді және салаларға арналған шешімдерді қамтиды. Олардың қатарында бірлескен 3D жұмыс процестеріне арналған NVIDIA Omniverse, автономды көліктерді әзірлеуге арналған NVIDIA DRIVE және денсаулық сақтау саласындағы қолданбаларға арналған NVIDIA Clara бар. Компания озық есептеулерді, модельдеуді және жасанды интеллект негізіндегі талдауды қолдайтын инфрақұрылым мен бағдарламалық жасақтамада жұмыс істейтін ірі техникалық командаларды біріктіреді.

DevOps Engineer, Build and CI/CD – NVIDIA Berlin Onsite

Build and maintain CI/CD automation for NVIDIA’s automotive AI and embedded software. Work across build systems, Docker environments, testing, and release workflows.

Сипаттама

  • Build, maintain, and optimize CI/CD pipelines for embedded software
  • Promote DevOps and software integration practices across the team and wider organization
  • Monitor CI builds and proactively diagnose and resolve build or test failures
  • Create automation tools for build, testing, and release processes
  • Manage and enhance Docker-based containerized build environments
  • Develop new build configurations as project requirements evolve
  • Partner with development teams to deliver effective builds, tools, and infrastructure

Талаптар

  • A strong technical foundation, such as a computer science degree or equivalent professional experience
  • At least five years of experience in DevOps, build engineering, or release engineering
  • Professional experience on embedded software development projects
  • Practical knowledge of build systems such as Bazel and CMake
  • Hands-on scripting experience with Python, Shell, and Bash
  • Extensive experience with CI/CD tools including Jenkins, Gerrit, GitLab, Artifactory, and Docker
  • Strong understanding of Docker and containerization technologies
  • Familiarity with Linux systems and command-line tools
  • Understanding of software engineering and integration practices for embedded development
  • Familiarity with Infrastructure as Code and a strong interest in automation
  • Excellent English communication skills, including the ability to explain technical ideas, designs, and recommendations clearly
  • Hands-on experience with large-scale automotive embedded software programs
  • Experience with ADAS projects and frameworks such as ASPICE and ISO 26262
  • Hands-on experience with Bazel and Gerrit
  • Knowledge of systems programming languages such as C++
  • Experience with web technologies including REST APIs and gRPC

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