Senior Deep Learning Software Engineer, Inference

NVIDIA Corporation; Netherlands; Remote; EUR 120,000 - 180,000; Full time

Job summary

NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team. You will design, build, and optimize the GPU-accelerated software that powers today’s AI applications, with focus on SGLang and vLLM.

You will collaborate across frameworks and libraries, deliver performance improvements for state-of-the-art models on datacenter GPUs and edge devices, and contribute to NVIDIA’s inference ecosystem including CUDA kernels and multi-GPU communication tools.

Qualifications

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

Responsibilities

• Performance optimization and tuning of DL models in domains such as LLM, Multimodal and Generative AI.
• Scale performance of DL models across architectures and 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.

Skills

C/C++ programming

Python

Software design

Agile

Education

Master's/PhD in Computer Science/Engineering/AI

Tools

CUDA

CUTLASS

NCCL

vLLM

SGLang

OAI Triton

Job description

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 is responsible for developing and maintaining 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.

What you’ll be doing:

• 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.

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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA.