What We Need To See B.Sc. in Computer Science or Electrical/Computer Engineering 5+ years in a DevOps, SRE, MLOps, Research-Ops or platform-engineering role Strong Linux fundamentals — shell, processes, networking, filesystems, systemd, performance tools Strong hands-on experience in Python — confident writing production-quality code, not just scripts Hands-on experience with at least one major Cloud ecosystem (OCI, AWS, Azure, GCP) and with Infrastructure as Code (Terraform, Pulumi or similar) Containers and orchestration: Docker plus Kubernetes, and/or HPC schedulers like Slurm Experience designing and bringing up CI/CD flows at scale (GitLab CI, GitHub Actions, Jenkins or similar) and operating distributed batch pipelines Ways To Stand Out From The Crowd Familiarity with video compression / codecs (NVENC, NVDEC, FFmpeg, GStreamer) GPU-aware infrastructure experience: CUDA toolkit installs, driver versioning, MIG, NCCL Reading-level comfort with C++ — enough to debug a build or trace a benchmark issue into the codec stack Observability experience — Prometheus, Grafana, OpenTelemetry, structured logging NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
