Software Engineering Manager - HPC CUDA Processing Libraries

We are now looking for a Software Engineering Manager for our Data Processing Libraries that accelerate AI training and inference. Are you passionate about leading teams developing brand-new technology? Have you ever dreamed of elevating engineering practices to the next level? As a global leader in technology, NVIDIA's innovative work in artificial intelligence and deep learning is redefining industries from image classification to natural language processing. Join us in building software that powers the future and impacts millions worldwide. Work directly with a community of creative engineers and collaborate on projects that push the boundaries of what's possible.

What you'll be doing:

In this role, you will be responsible for managing a team of highly skilled engineers, focusing on the development of an accelerated data processing solutions.

• Lead and motivate your team to successfully conduct projects that meet both internal and external customer needs.

• Actively collaborate with the deep learning software engineering community to contribute to and improve open source code bases.

• Build and maintain a project roadmap that aligns with our daring goals and customer expectations.

• Determine project goals and scope, ensuring execution and delivery.

• Foster an inclusive and collaborative environment that promotes innovation and creativity.

What we need to see:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience.

• 6+ overall years of experience, including 3+ years or more in team management, with strong interpersonal and leadership skills.

• Experience in designing and testing large scale software backed with solid examples from past career.

• Proficiency in C++ and Python, showcasing your technical versatility.

• Strong communication skills, enabling direct contact and effective collaboration with the open source community.

Ways to stand out from the crowd:

• Experience with image processing or compression, computer vision, or 3D graphics algorithms.

• Expertise in parallel programming and performance optimization on modern computer architectures (e.g., CUDA, MPI, NVSHMEM, NCCL, AVX).

• Experience managing an open source project, including tasks such as using GitHub, bug tracking, branching and merging code, understanding OSS licensing issues, and handling patches.

• Prior experience working with distributed teams, demonstrating your ability to manage and coordinate effectively across different locations.

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 in the world working for us. If you're creative and autonomous, we want to hear from you! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.