We are now looking for a Senior AI Software Engineer!

NVIDIA is seeking a passionate and innovative AI Software Engineer to play a pivotal role in advancing our Copilots for Compute (C4C) initiative. This groundbreaking initiative will redefine how AI copilots support and accelerate our hardware and software stacks, shaping the direction of NVIDIA’s compute capabilities.

As part of this role, you’ll prototype and deploy next-generation AI copilots that push the boundaries of computing technologies. These copilots will transform the way compute-intensive workloads are managed, automate optimization tasks, streamline massive AI infrastructures, and accelerate the design of our next-generation chips. Your contributions will influence the flagship GPU and software roadmaps, driving productivity for both NVIDIA employees and customers, while advancing AI driven innovations across the industry.

What you'll be doing:

Design, develop, and train AI co-pilot models, focusing on data curation, model fine-tuning, and seamless deployment for real-world use cases.

Conduct innovative research and literature reviews of pioneering AI techniques, implementing functional prototypes that push technological boundaries.

Build full-stack implementations of co-pilot models, optimizing their performance for various applications across software and hardware domains.

Collaborate closely with diverse teams, including researchers, engineers, and product managers, to ensure mission goals are met and exceeded.

Drive comprehensive testing and evaluation of models, using metrics to drive improvements and ensure reliability and performance.

Perform code reviews and promote best practices in code quality and software development processes.

What we need to see:

Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Applied Mathematics, or a related field—or equivalent experience.

At least 4 years of experience in PyTorch, Python, and modern software development practices.

Strong foundation in deep learning and hands-on experience with Large Language Models (LLMs) and Reinforcement Learning.

Excellent communication and interpersonal skills to articulate complex technical concepts and collaborate effectively with cross-functional teams.

Ways to stand out from the crowd:

Proven contributions in developing AI systems for software, hardware, or large-scale computing environments.

Expertise in C++, CUDA, or GPU programming, with a deep understanding of chip design and computer architecture.

Experience with GenAI and cutting-edge LLM technologies, and familiarity with the intersection of AI and hardware design.

Why NVIDIA?

NVIDIA is a leader in AI and GPU-accelerated computing, with a rapidly growing footprint in the datacenter business. In this role, you will be at the heart of leveraging data-driven approaches to transform hardware design and system software development. Our team collaborates across NVIDIA, engaging with deep learning research teams, CUDA Kernel developers, and Silicon Architecture groups.

What You’ll Get:

The opportunity to work alongside some of the most forward-thinking and hardworking people in the industry, shaping the future of AI.

A creative, autonomous work environment that encourages innovation.

The ability to influence long-term opportunities that expand NVIDIA’s impact on the datacenter and beyond.

Are you ready to innovate and take on new challenges in AI at NVIDIA? We want to hear from you!

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.