Senior Deep Learning Algorithm Engineer

Details

We are now looking for a Senior DL Algorithms Engineer! We seek a highly skilled Deep Learning Algorithms Engineer with hands-on experience optimizing and deploying Large Language Models (LLMs) and Vision-Language Models (VLMs) in production environments. In this role, you will focus on optimizing and deploying deep learning models for efficient and fast inference across diverse GPU platforms. You will collaborate with research scientists, software engineers, and hardware specialists to bring cutting-edge AI models from prototype to production.

Responsibilities

• Optimize deep learning models for low-latency, high-throughput inference.
• Convert and deploy models using frameworks such as TensorRT and TensorRT-LLM.
• Understand, analyze, profile, and optimize performance of deep learning workloads on state-of-the-art hardware and software platforms.
• Collaborate with internal and external researchers to ensure seamless integration of models from training to deployment.

Requirements

• Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience).
• 3+ years of professional experience in deep learning or applied machine learning.
• Strong foundation in deep learning algorithms, including hands-on experience with LLMs and VLMs.
• Deep understanding of transformer architectures, attention mechanisms, and inference bottlenecks.
• Proficient in building and deploying models using PyTorch or TensorFlow in production-grade environments.
• Solid programming skills in Python and C++.

Ways to Stand Out

• Proven experience deploying LLMs or VLMs at scale in real-world applications.
• Hands-on experience with model optimization and serving frameworks such as TensorRT, TensorRT-LLM, vLLM, and SGLang.

Company and Culture

NVIDIA is widely considered one of the technology world’s most desirable employers, offering a forward-thinking and hardworking environment. The team plays a central role in optimizing datacenter deployments and collaborates across research, kernel, framework, and silicon architecture teams.

Compensation and Benefits

The base salary range is 184,000 USD - 356,500 USD. Your salary will depend on location, experience, and pay ranges for similar roles. You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.