Senior AI Infrastructure Engineer – Remote

Bright Vision Technologies; Piscataway Township (NJ); A distancia; USD 100.000 - 160.000; Jornada completa

Descripción de la vacante

Bright Vision Technologies in the United States seeks an AI Infrastructure Engineer to design, build, and operate the platform layer powering large-scale AI training and inference workloads. You will work with GPU clusters, distributed training frameworks, and scheduling, storage, and developer tooling to enable reliable, cost-efficient experiments.

The ideal candidate has 10+ years of infrastructure experience, strong Python and systems language skills, and a track record building production AI

Formación

• Bachelor's or Master's in Computer Science or related field.
• 10+ years of experience in infrastructure, platform, or HPC engineering.
• Hands-on experience operating GPU clusters or large-scale ML training infrastructure.
• Proficiency in Python and Go or C++.
• Understanding of distributed training and accelerator architectures.
• Experience with Kubernetes, Slurm, Ray for ML workloads.
• Strong Linux, networking, and high-performance storage knowledge.
• Experience with major cloud provider’s ML infra offerings.
• Strong software engineering practices including testing, CI/CD, and code review.
• Excellent communication and cross-functional collaboration skills.

Responsabilidades

• Design and operate GPU and accelerator infra for training and inference.
• Build scheduling, queueing, and resource-sharing systems across teams.
• Integrate PyTorch, JAX, DeepSpeed, Megatron-LM, and Ray Train into a unified platform.
• Operate high-performance storage systems and data pipelines for training data.
• Design networking architectures supporting RDMA, InfiniBand, NCCL.
• Build observability for AI workloads including utilization and throughput.
• Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs.
• Drive cost optimization across compute, storage, and networking.
• Develop developer tooling and paved-road workflows for researchers.
• Plan capacity with research and applied ML teams for upcoming runs.
• Implement security controls, isolation, and access management for multi-tenant infra.
• Drive automation across cluster provisioning and lifecycle management.
• Maintain runbooks and capacity dashboards for the AI platform.
• Stay current with AI infra research and tooling.

Conocimientos

Python

Go/C++

Kubernetes

Slurm

Ray

Linux

Distributed training

CI/CD

Cloud ML infra

Educación

BSc or MSc in CS

Herramientas

InfiniBand

RDMA

Open-source ML infra

Descripción del empleo

Bright Vision Technologies in the United States seeks an AI Infrastructure Engineer to design, build, and operate the platform layer powering large-scale AI training and inference workloads. You will work with GPU clusters, distributed training frameworks, and scheduling, storage, and developer tooling to enable reliable, cost-efficient experiments.

The ideal candidate has 10+ years of infrastructure experience, strong Python and systems language skills, and a track record building production AI