Senior Deep Learning Engineer

NVIDIA; Netherlands; On-site; EUR 221,250 - 507,000; Full time

Job summary

A leading AI technology firm is seeking a Senior Deep Learning Engineer in the Netherlands to optimize and deploy models for high-performance inference. The role requires over 5 years of experience in Deep Learning, strong programming skills in Python and PyTorch, and experience with optimization techniques. Responsibilities include improving inference speed and production deployments, working closely with research and engineering teams. The position offers competitive salary based on experience.

Qualifications

• 5+ years of experience in relevant fields.
• Strong programming skills in Python and PyTorch.
• Experience with inference optimization techniques.

Responsibilities

• Improve inference speed for Cosmos WFMs on GPU platforms.
• Carry out production deployments of Cosmos WFMs.
• Profile and analyze deep learning workloads.

Skills

Deep Learning

Python

PyTorch

Inference Optimization Techniques

CUDA Programming

Education

MSc or PhD in Computer Science, Electrical Engineering, or equivalent

Tools

TensorRT

Docker

Triton Inference Server

Job description

Overview

We are looking for a Senior Deep Learning Engineer to help bring Cosmos World Foundation Models from research into efficient, production-grade systems. You’ll focus on optimizing and deploying models for high-performance inference on diverse GPU platforms. This role sits at the intersection of deep learning, systems, and GPU optimization - working closely with research scientists, software engineers, and hardware experts.

NVIDIA Cosmos is a platform purpose-built for physical AI, featuring powerful generative models. Developers use Cosmos to accelerate physical AI development for autonomous vehicles (AVs), robots, and video analytics AI agents by simulating and reasoning about the physical world.

Responsibilities

• Improve inference speed for Cosmos WFMs on GPU platforms.
• Effectively carry out the production deployment of Cosmos WFMs.
• Profile and analyze deep learning workloads to identify and remove bottlenecks.

What We Need To See

• 5+ years of experience.
• MSc or PhD in CS, EE, or CSEE or equivalent experience.
• Strong background in Deep Learning.
• Strong programming skills in Python and PyTorch.
• Experience with inference optimization techniques (such as quantization) and inference optimization frameworks, one of: TensorRT, TensorRT-LLM, vLLM, SGLang.

Ways To Stand Out From The Crowd

• Familiarity with deploying Deep Learning models in production settings (e.g., Docker, Triton Inference Server).
• CUDA programming experience.
• Familiarity with diffusion models.
• Proven experience in analyzing, modeling, and tuning the performance of GPU workloads, both inference and training.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 221,250 PLN - 383,500 PLN for Level 3, and 292,500 PLN - 507,000 PLN for Level 4. , , JR2013341