Software Engineering Manager - HPC CUDA Processing Libraries

Software Engineering Manager - HPC CUDA Processing Libraries

Nvidia

Remote

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.