NVIDIA Recruitment 2026

NVIDIA

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Freshers/Experienced1 day ago
ExperienceFreshers/Experienced
QualificationB.E/B.Tech/B.Sc/BCA

Skills & Eligibility

  • Site Reliability Engineer:
  • BS degree in Computer Science or a related technical field such as Physics or Mathematics, or equivalent practical experience.
  • Foundational programming knowledge in Python, TypeScript, JavaScript, or Go.
  • Basic understanding of cloud platforms such as AWS, Azure, or GCP.
  • Knowledge of containerization technologies such as Docker and Kubernetes.
  • Exposure to infrastructure-as-code tools such as Terraform, AWS CDK, or CloudFormation, or willingness to learn.
  • Familiarity with Linux/Unix systems, networking fundamentals, and Git.
  • Interest in observability concepts including logging, metrics, and tracing.
  • Exposure to tools such as OpenTelemetry, Prometheus, or Grafana.
  • Basic knowledge of relational databases such as PostgreSQL or MySQL.
  • Understanding of SQL, indexing, and simple query optimization.
  • Strong problem-solving skills and curiosity.
  • Good communication and teamwork skills.
  • Personal projects, internships, or coursework involving cloud infrastructure.
  • DevOps or SRE projects.
  • Automation and infrastructure projects.
  • Open-source contributions.
  • Hackathons, coding competitions, or technical community participation.
  • Exposure to AI/ML concepts.
  • Experience building or deploying a machine learning model.
  • Experience with LLM APIs or AI-powered developer tools such as Copilot or Cursor.
  • Hands-on CI/CD experience.
  • Scripting and infrastructure automation.
  • Container orchestration experience.
  • Strong ownership, initiative, and willingness to learn unfamiliar systems.
  • Personal projects, internships, or coursework involving cloud infrastructure.
  • DevOps or SRE projects.
  • Automation and infrastructure projects.
  • Open-source contributions.
  • Hackathons, coding competitions, or technical community participation.
  • Exposure to AI/ML concepts.
  • Experience building or deploying a machine learning model.
  • Experience with LLM APIs or AI-powered developer tools such as Copilot or Cursor.
  • Hands-on CI/CD experience.
  • Scripting and infrastructure automation.
  • Container orchestration experience.
  • Strong ownership, initiative, and willingness to learn unfamiliar systems.
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