Senior Deep Learning Software Engineer, Inference, Senior Deep Learning Software Engineer, Inference

NVIDIA

Netherlands

On-site

EUR 75,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Highly competitive salaries

Extensive benefits package

Diversity and inclusion initiatives

Job summary

A leading technology company is seeking a Senior Deep Learning Software Engineer in the Netherlands. The successful candidate will focus on optimizing GPU-accelerated software for deep learning inference and model serving. Applicants should have a Master's or PhD in a relevant field, excellent C/C++ skills, and over 5 years of software development experience. The company offers competitive salaries and a diverse, inclusive workplace.

Qualifications

5+ years of relevant software development experience.
Experience with training, deploying, or optimizing DL models.
Background in performance modeling, profiling, and optimization.

Responsibilities

Optimize performance of DL models in varied domains.
Scale performance of models across different NVIDIA architectures.
Contribute to NVIDIA’s inference libraries and software solutions.

Skills

C/C++ programming skills

Software design skills

Agile software skills

Python experience

Education

Masters or PhD in Computer Engineering, Computer Science, EECS or AI

Tools

CUDA

NCCL

OAI Triton

CUTLASS

Job description

Overview

Senior Deep Learning Software Engineer, Inference role at NVIDIA. NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team. As a key contributor, you will help design, build, and optimize the GPU-accelerated software that powers today’s most sophisticated AI applications. Our team develops and maintains high-performance deep learning frameworks, including SGLang and vLLM, which are at the forefront of efficient large-scale model serving and inference. You will play a central role in improving these platforms, facilitating smooth deployment and serving of groundbreaking language models. You’ll work closely with the deep learning community to implement the latest algorithms for public release in frameworks like SGLang and vLLM, as well as other DL frameworks. Your work will focus on identifying and driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators, from datacenter GPUs to edge SoCs. You\'ll bring to bear open-source tools and plugins—including CUTLASS, OAI Triton, NCCL, and CUDA kernels—to implement and optimize model serving pipelines.

Responsibilities

Performance optimization, analysis, and tuning of DL models in various domains like LLM, Multimodal and Generative AI.
Scale performance of DL models across different architectures and types of NVIDIA accelerators.
Contribute features and code to NVIDIA’s inference libraries, vLLM and SGLang, FlashInfer and LLM software solutions.
Work with cross-collaborative teams across frameworks, NVIDIA libraries and inference optimization innovative solutions.

What We Need To See

Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI).
5+ years of relevant software development experience.
Excellent C/C++ programming and software design skills. SW Agile skills are helpful and Python experience is a plus.
Prior experience with training, deploying or optimizing the inference of DL models in production is a plus.
Prior background with performance modeling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus.

Ways To Stand Out From The Crowd

Contribute to Deep Learning Software projects, such as PyTorch, vLLM, and SGLang to drive advancements in the field.
Experience with Multi-GPU Communications (NCCL, NVSHMEM)
Experience building and shipping products to enterprise customers.
GPU programming experience (CUDA, OAI TRITON or CUTLASS).

NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.

Seniority level