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About the Role

Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most challenging problems at the intersection of AI, robotics, and embodied intelligence. If you're excited about pushing the boundaries of what's possible with Physical AI, you'll have the opportunity to make an outsized impact from day one.

Responsibilities

Design, deploy, and maintain large-scale bare-metal GPU clusters running Slurm and Kubernetes for distributed training.
Configure, tune, and optimize Slurm schedulers, dynamic job queuing, priority topologies, and autoscaling.
Manage Kubernetes clusters and hybrid Slurm-K8s environments for serving, data processing, and research.
Optimize high-speed interconnects and high-throughput distributed storage to ensure continuous GPU saturation.
Build observability pipelines to proactively detect hardware and system failures.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or equivalent hands-on experience in HPC or infrastructure engineering.
Deep hands-on expertise administering Linux-based HPC clusters running Slurm or Kubernetes.
Strong troubleshooting skills in low-level Linux networking, kernel parameters, hardware diagnostics, and storage systems.
Proficiency in automation and infrastructure-as-code tools.
Background supporting distributed deep learning frameworks.

Skills

Slurm
Kubernetes
InfiniBand
RoCE
NCCL
NVLink
Lustre
WEKA
Ceph
Prometheus
Grafana
DCGM
Ansible
Terraform
Helm
Python
Bash scripting
DeepSpeed
Ray

Education Level

Bachelor's degree in Computer Science, Computer Engineering, or equivalent hands-on experience

About the Company

Veeda AI is building the next generation of multimodal foundation world models for Physical AI.
Tackling challenging problems at the intersection of AI, robotics, and embodied intelligence.