Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.

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We are now looking for a Deep Learning Algorithms Engineer! We are seeking 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.

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What you will be doing:

• 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.

What we need to see:

• Pursuing or recently completed a Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience)
• 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 from the crowd:

• 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, SGLang.

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As NVIDIA makes inroads into the Datacenter business, our team plays a central role in getting the most out of our exponentially growing datacenter deployments as well as establishing a data-driven approach to hardware design and system software development. We collaborate with a broad cross section of teams at NVIDIA ranging from DL research teams to CUDA Kernel and DL Framework development teams, to Silicon Architecture Teams. As our team grows, and as we seek to identify and take advantage of long-term opportunities, our skillset needs are expanding as well.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 3, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.