Nvidia
SeniorResearch-Ops&DevOpsEngineer
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“Senior Research-Ops & DevOps Engineer at Nvidia. Skills: DevOps, SRE, MLOps, Research-Ops, platform-engineering, Linux, Python, Cloud, Infrastructure as Code, Docker, Kubernetes, CI/CD, distributed batch pipelines. lead the infrastructure and operations for this group’s work. setting up compute resources on-premises and in the cloud”
What You'll Achieve.
transform one-off research workflows into dependable, consistent, automated systems; make sense of the results
Industry & Context.
debug a build; trace a benchmark issue into the codec stack
What They're Looking For.
Must Have
B. Sc. in Computer Science or Electrical/Computer Engineering, 5+ years in a DevOps, SRE, MLOps, Research-Ops or platform-engineering role, Linux fundamentals — shell, processes, networking, filesystems, systemd, performance tools, 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), Hands-on experience 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), Experience operating distributed batch pipelines
Nice to Have
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
What You'll Do.
lead the infrastructure and operations for this group’s work
setting up compute resources on-premises and in the cloud
develop distributed pipelines for large-scale regressions and experiments across hardware simulations and machine learning workloads
maintain the CI/CD and development environments
transform one-off research workflows into reliable
Work closely with our Architects and Algorithms Engineers to understand the needs and transform one-off research workflows into dependable
Stand up and operate the compute the group runs on — on-prem GPU clusters
schedulers (Slurm / Kubernetes)
Develop and build decentralized workflows for extensive regression testing and experiments across HW-simulations and ML workloads — and the dashboards that make sense of the results
Lead the team’s CI/CD plus the dev environments
container images and tooling everyone in the group lives in every day
How You'll Work.
Team & Collaboration
Work closely with our Architects and Algorithms Engineers
Full Job Description
Nvidia is looking for a Senior Software Engineer to join our Video/Multimedia Architecture & Algorithms (A&A) team — the people who build tomorrow’s NVENC and NVDEC, the dedicated video encode and decode engines that power streaming, cloud gaming, video conferencing and broadcast on every modern NVIDIA GPU. You will lead the infrastructure and operations for this group’s work. This includes setting up compute resources on-premises and in the cloud. You will develop distributed pipelines for large-scale regressions and experiments across hardware simulations and machine learning workloads. You will maintain the CI/CD and development environments. You will also transform one-off research workflows into reliable, repeatable, automated systems. This is a hybrid role — 4 days per week from the office. ## **What You 'll Be Doing** * Work closely with our Architects and Algorithms Engineers to understand the needs and transform one-off research workflows into dependable, consistent, automated systems * Stand up and operate the compute the group runs on — on-prem GPU clusters, cloud bursts, queues, schedulers (Slurm / Kubernetes), container images, environments * Develop and build decentralized workflows for extensive regression testing and experiments across HW-simulations and ML workloads — and the dashboards that make sense of the results * Lead the team’s CI/CD plus the dev environments, container images and tooling everyone in the group lives in every day ## **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) * Cont
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