Senior Research-Ops & DevOps Engineer
Core
Lead infrastructure and operations for the Video/Multimedia Architecture & Algorithms team, building automated systems for large-scale hardware simulations and ML workloads.
Role type
Senior Research-Ops & DevOps Engineer
Builds
On-prem GPU clusters, cloud burst environments, distributed regression pipelines, and CI/CD tooling for video encode/decode engines.
Domain
Hardware simulation, Machine Learning, Video Compression, Cloud Infrastructure
Deliverable
infrastructure
Required skills
Linux fundamentals, Python, Cloud ecosystems (OCI/AWS/Azure/GCP), Infrastructure as Code, Containers and orchestration, CI/CD pipeline design
Preferred skills
Video compression knowledge, GPU-aware infrastructure, C++ reading/debugging, Observability tools
Technologies
Slurm, Kubernetes, Docker, Terraform, Pulumi, GitLab CI, GitHub Actions, Jenkins, Prometheus, Grafana, OpenTelemetry, CUDA, FFmpeg, GStreamer
Responsibilities
Transform one-off research workflows into reliable automated systems; operate compute resources on-premises and in the cloud; develop decentralized workflows for regression testing and experiments; maintain CI/CD and development environments.
Seniority
Senior, hands-on IC
