Data/AI Engineer NVIDIA stack

THE JUDGE GROUP, INC.

Eastborough, KS, United States

10 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Compensation

$124,800.0 - $135,200.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Concurrent Computing Python (Programming Language) Concurrency Containerization Kubernetes Information Technology Enterprise Integration Nim (Programming Language) Data Pipelines Docker

Requirements

Bachelor’s/Master’s in Computer Science, Engineering, or related field.

Strong proficiency in Python for pipeline and integration development.

Hands-on experience deploying GPU-accelerated inference services - ideally NVIDIA NIM.

Experience building data pipelines and processing large volumes of documents/files (OCR, document AI, or similar).

Solid understanding of GPU configurations and how to size them for inference (memory, batch size, concurrency, MIG/MPS).

Experience with containerization (Docker) and orchestration (Kubernetes), including GPU scheduling.

Comfort with parallel/concurrent processing for high-throughput pipelines.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:33 min

Architecting CUDA and the AI software stack

Michael Kagan +1 · World Congress 2026 Europe

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz · World Congress 2025

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

5:59 min

Analyzing concurrency bottlenecks in standard serverless architectures

Marco Plaul +1 · World Congress 2023

2:56 min

Introduction of panelists and their roles in AI engineering

Damandeep Kochhar +4 · World Congress 2026 Europe

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña · World Congress 2026 Europe

Videos

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