Senior AI Infrastructure Engineer — Remote GPU Pipelines

Framework Ventures; Vienna (VA); Remote; USD 150,000 - 210,000; Full time

Job summary

Tether is seeking experienced AI infrastructure Engineers to design and implement robust, scalable pipelines for massive data workloads. You will join our applied research team, contributing to high-impact projects across thousands of GPUs and driving video generation foundation development.

Role emphasizes Python engineering, distributed systems, and collaboration with model researchers to co-design architectures and training schedules. Remote work available globally.

Qualifications

• Proficient in Python with strong backend, infrastructure, and data tooling experience.
• 2+ years of experience with petabyte-scale data pipelines and distributed GPU workloads.
• Experience architecting and maintaining large-scale distributed data processing systems.

Responsibilities

• Build and scale high-throughput data infrastructure for video and multimodal content on thousands of GPUs.
• Design preprocessing for video, audio, text, and image modalities; enable synchronization and normalization of temporal data.
• Create automated pipelines for sourcing large-scale video datasets and annotations.
• Develop robust evaluation/annotation systems including scoring and metrics; support model deployment workflows.
• Collaborate with researchers to design video model architectures and training schedules.

Skills

Python

Petabyte-scale data pipelines

Distributed systems

Kubernetes

SLURM

Video data pipelines

Multimodal datasets

Tools

Kubernetes

SLURM

Job description

Tether is seeking experienced AI infrastructure Engineers to design and implement robust, scalable pipelines for massive data workloads. You will join our applied research team, contributing to high-impact projects across thousands of GPUs and driving video generation foundation development.

Role emphasizes Python engineering, distributed systems, and collaboration with model researchers to co-design architectures and training schedules. Remote work available globally.