Senior DevOps/ MLOps Engineer (5+ Years of Experience)
VINFAST TRADING AND PRODUCTION JSC
Mô tả công việc
We are looking for Senior MLOps & Infrastructure Engineers to build and operate the hybrid AI computing platform behind VinFast’s ADAS and autonomous driving programme — on-premise GPU clusters running perception model training and large-scale inference, a multi-petabyte sensor data archive, and the platform services used daily by our engineering and annotation teams. This is a fullstack infrastructure role. You will work across compute, storage, networking, automation and security. We do not divide the team into narrow specialists: everyone owns a part of the platform end to end — provisioning, deployment, monitoring and incident response — and is expected to grow across the whole stack over time. Work is assigned according to what the programme needs at that moment, not by a fixed job boundary. Much of the platform runs on-premise, including air-gapped segments. Experience operating without a public-cloud safety net is valued here Key Responsibilities 1. AI Compute & Serving - Operate and scale GPU clusters across training, inference and annotation workloads; manage scheduling, utilisation and capacity - Deploy and scale high-throughput model serving; tune GPU memory and runtime performance - Manage multi-GPU distributed training and reproducible environment sandboxing - Scale pipeline orchestration on Kubernetes for large data processing jobs 2. Platform Automation & Delivery - Drive GitOps-based deployment and maintain infrastructure-as-code across the platform - Build and maintain CI pipelines, secure container builds and release automation - Build monitoring, logging and alerting so that failures are detected and actionable, never silent - Lead incident response and drive follow-up actions to closure 3. Data Infrastructure & Security - Operate storage at multi-petabyte scale: object storage, local storage, tiering, backup and recovery - Operate the ingestion path for large sensor data deliveries, with integrity verification and metadata extraction - Implement access control and single sign-on across platform services, with audit logging - Apply data protection measures to sensitive content before it reaches external users
Yêu cầu công việc
- 4+ years in MLOps, DevOps, SRE or HPC platform engineering, with production ownership of AI/ML infrastructure - Kubernetes administration at production scale: Helm, ingress (Traefik or Envoy), CNI, and GitOps (Flux or ArgoCD) - GPU & HPC: SLURM, NVIDIA Container Toolkit, CUDA runtime tuning, multi-GPU memory debugging - Strong Linux systems skills and infrastructure-as-code (SaltStack or Ansible) - Python and Bash for automation, including Airflow DAGs and custom operators - Object storage, and a monitoring and logging stack (Prometheus, Grafana or equivalent) - Willingness to work across the full stack — compute, storage, networking, automation and security — rather than within a single specialty - Good communication in English — technical documentation and working with international partners
Quyền lợi
• Competitive income (including 13th-month salary, performance bonuses, and other rewards as regulated by Vingroup). , • High-quality health insurance , • Working in a safe, modern, civilized, and professional environment with numerous opportunities for personal development, and even take the lead.