Principal Deep Learning Algorithm Engineer

Imagine yourself at the very heart of the AI revolution, a place where groundbreaking ideas in large language models don't just happen, they're built. At NVIDIA, we're not just observing the explosion of LLMs and their clever applications in agentic systems; we're actively engineering their future. The sheer scale and intricate nature of these systems are growing at an incredible pace, and we're on the lookout for truly exceptional engineers. You'll join a dynamic team dedicated to shaping the next generation of LLM inference, pushing the boundaries of what's even conceivable.

Overview

Our mission here is clear: redefine the limits of LLM capabilities. We're passionate about dramatically enhancing the algorithmic performance and efficiency of the systems powering these models. Every single day, we challenge the status quo, designing innovative inference algorithms, creating new protocols, constantly improving existing models, and then seamlessly integrating those advancements. This ensures NVIDIA's solutions can effortlessly manage even the most massive, most sophisticated AI tasks imaginable. This truly impactful Principal Deep Learning Algorithm Engineer position is fully remote, a fantastic opportunity to contribute from anywhere in the world.

Key Responsibilities

In this pivotal role, you will be performing several key functions. You will have opportunities to:

Drive Research and Development: Actively explore and expertly integrate the very latest research in generative AI, intelligent agents, and advanced inference systems directly into NVIDIA's core LLM software stack.
Lead Workload Analysis and Optimization: Conduct deep dive analyses, precise profiling, and critical optimization for agentic LLM workloads. Your efforts will significantly slash request latency and dramatically boost request throughput, all while rigorously preserving workflow fidelity.
Architect and Implement Advanced Systems: Design, develop, and implement high-performance deep learning inference systems and algorithmic improvements, ensuring scalability, efficiency, and robustness for cutting-edge LLM applications.
Innovate Algorithmic Strategies: Conceive and develop novel algorithms and protocols to enhance LLM inference efficiency, model quality, and introduce new capabilities to the NVIDIA ecosystem.
Collaborate and Mentor: Work closely with a team of world-class engineers and researchers, providing technical leadership and mentorship to advance team goals and individual growth.

Requirements

To thrive in this role, we are looking for:

A Ph.D. or Master's degree in Computer Science, Electrical Engineering, or a related quantitative field, or equivalent practical experience.
At least 8+ years of industry experience focused on deep learning algorithm development, with a strong emphasis on large language models and generative AI.
Demonstrated expertise in designing, optimizing, and deploying complex deep learning inference systems.
Deep understanding of LLM architectures, training methodologies, and state-of-the-art inference techniques.
Exceptional proficiency in Python and C++, along with experience using deep learning frameworks such as PyTorch or TensorFlow.
Proven ability to profile, benchmark, and optimize deep learning workloads for performance and efficiency.
A track record of technical leadership, including successful project ownership and driving complex initiatives from conception to deployment.
Excellent problem-solving skills and the ability to innovate solutions for challenging algorithmic and system-level problems.

What You'll Gain

Joining NVIDIA means becoming a key player in a company synonymous with innovation. You'll find:

Unmatched Impact: Your work will directly influence the performance and capabilities of global LLM applications and agentic systems.
Cutting-Edge Technology: Opportunities to work with and define the future of deep learning, often before it hits mainstream.
Collaborative Environment: A supportive, intellectually stimulating atmosphere where your ideas are valued and encouraged.
Professional Growth: Continuous learning and development within a team of brilliant minds, tackling some of the most exciting challenges in AI.
Global Reach: The chance to contribute to a worldwide leader from the comfort of your remote workspace.