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NVIDIA
Sponsor pentru viza H1BAsistență medicalăIndustria prelucrătoareInteligență artificială
NVIDIA dezvoltă tehnologii de calcul accelerat și inteligență artificială utilizate în domenii precum jocurile video, centrele de date, cloud computing, asistența medicală, producția, industria auto și robotica. Activitatea companiei acoperă unități de procesare grafică, platforme de inteligență artificială, simulare și soluții dedicate anumitor industrii, inclusiv NVIDIA Omniverse pentru fluxuri de lucru colaborative 3D, NVIDIA DRIVE pentru dezvoltarea vehiculelor autonome și NVIDIA Clara pentru aplicații medicale. Compania reunește echipe tehnice numeroase care lucrează la infrastructura și software-ul ce susțin calculul avansat, simularea și analiza bazată pe inteligență artificială.
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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.

DEGermaniaLa sediuNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer DevOps
C++DockergRPCJenkinsLinuxPython

Descriere

  • 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

Cerințe

  • 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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