Software Engineering Manager, HPC CUDA Processing
NVIDIA
Job Overview
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Job Description
About NVIDIA
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 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.
Key skills/competency
- Team Leadership
- Project Management
- C++ Programming
- Python Programming
- Parallel Programming
- CUDA
- Performance Optimization
- Deep Learning
- Open Source Contribution
- Software Architecture
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight HPC, CUDA, C++, Python, and leadership experience relevant to NVIDIA's AI focus.
- Showcase technical depth: Prepare to discuss large-scale software design, parallel programming, and optimization examples.
- Demonstrate leadership: Be ready to share experiences managing teams and fostering collaborative environments.
- Engage with open source: If applicable, showcase contributions to open source projects, especially in deep learning or GPU acceleration.
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