9 часов назад
Senior Cloud Infrastructure Engineer (AI)
180 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Cloud Infrastructure Engineer (AI): Architecting and managing large-scale compute, data infrastructure, and automated pipelines for an autonomous driving AI platform with an accent on Kubernetes GPU clusters, distributed training, and MLOps. Focus on optimizing multi-node GPU communication, building resilient infrastructure-as-code workflows, and deploying models across simulation and production environments.
Location: Onsite five days a week at the Santa Clara, California office
Salary: $180,000–$240,000 per year
Company
develops autonomous transportation technology for short-haul, B2B middle-mile logistics, integrating proprietary Level 4 autonomous software and hardware with commercial freight operations.
What you will do
- Architect and maintain Kubernetes clusters optimized for high-volume GPU and TPU workloads, including GPU scheduling and self-healing infrastructure.
- Build infrastructure-as-code and GitOps workflows with Terraform, Helm, ArgoCD, and GitLab CI/CD.
- Develop large-scale autonomy data pipelines with Apache Airflow, Kafka, and Spark.
- Maintain observability for infrastructure and model-serving performance using Prometheus, Grafana, and OpenTelemetry.
- Design ML model tracking, feature-store integrations, lifecycle automation, and serving workflows with MLflow, Airflow, Kubernetes, Triton, Ray Serve, and ONNX Runtime.
- Support distributed training across multi-node GPU clusters and optimize NCCL, InfiniBand, RoCE v2, FSDP, and DeepSpeed workloads.
Requirements
- 5+ years of experience in cloud infrastructure, DevOps, or MLOps supporting high-scale compute environments.
- Deep expertise in Kubernetes, Helm, and container orchestration.
- Strong experience with Apache Airflow, Argo Workflows, MLflow, and Terraform.
- Practical experience supporting Ray and PyTorch Distributed.
- Proficiency in Python and Bash scripting, with a solid understanding of IAM and RBAC.
- Ability to work onsite five days per week at the Santa Clara office.
Nice to have
- Deep understanding of FSDP and DeepSpeed.
- Experience building agentic workflows with LangGraph or AutoGen for infrastructure automation or data curation.
- Familiarity with Model Context Protocol (MCP).
Culture & Benefits
- Collaborative, respectful, and agile working culture.
- Focus on diversity, inclusion, and equal opportunities for growth.
- Opportunity to contribute to autonomous transportation and a more resilient, sustainable supply chain.
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