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$224K–$431KSenior
$224K–$431KFull-time · Senior
+10K new in the last hour
Build and scale training libraries and infrastructure for autonomous driving models, enabling training on thousands of GPUs and massive datasets.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 224,000 USD – 356,500 USD for Level 5; and 272,000 USD – 431,250 USD for Level 6.
Build and scale deep learning infrastructure libraries and frameworks for autonomous driving models.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 224,000 USD – 356,500 USD for Level 5; and 272,000 USD – 431,250 USD for Level 6.
Essential Skills High-Performance Storage: Parallel Filesystems: Hands-on operational experience with at least one major AI storage platform: VAST Data, Weka.io, DDN Lustre (Exascaler), or IBM GPFS (Spectrum Scale). Linux I/O Stack: Deep understanding of the Linux VFS (Virtual File System), block devices, and how to debug I/O performance using tools like iostat, iotop, and strace. RDMA Storage: Experience configuring NVMe-over-Fabrics (NVMe-oF) or NFS-over-RDMA, understanding the dependency on the underlying InfiniBand/RoCE network. Automation & Containerisation: Ansible Storage: Proficiency in writing Ansible playbooks to automate the installation of storage clients and configuration of mount points. Kubernetes Storage: Understanding of StorageClasses, PVCs, and how to debug CSI Driver pods (checking logs for mount failures). GPUDirect: Conceptual understanding of NVIDIA GPUDirect Storage (GDS) and the ability to verify if GDS is active. Desirable Experience Vendor Specifics: Deep certification or experience with Pure Storage (FlashBlade) or NetApp ONTAP AI configurations. Object Storage: Experience interacting with S3-compatible object stores via CLI for model weight retrieval. Data Migration: Experience using tools like fpsync or rclone to move petabyte-scale datasets between tiers. Certifications Highly Desirable: NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO) Vendor Certifications: VAST Certified Administrator (VCP-AD1) WEKA Technical Xpert Certification Red Hat Certified Specialist in Storage Administration Success Metrics (KPIs) I/O Performance: Achieving >95% of the theoretical line-rate throughput on IOR/FIO benchmarks for provisioned clients. Mount Stability: Zero "Stale File Handles" or disconnected mounts across the cluster during the 72-hour burn-in period. Ticket Velocity: Consistently meeting SLAs for storage-related support tickets. #LI-RB1