Software Engineering Manager - Libraries
We are looking for a software engineering manager to lead our development efforts for math libraries in the AI, HPC, and Quantum Computing (QC) domains. Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs. Applications of these technologies include LLMs, Computer Vision, Encryption, autonomous vehicles and countless others. Did you know our team develops the GPU accelerated libraries and SDKs that help make these possible? In this role, you will lead an engineering team designing, developing, and optimizing software to accelerate various elements of the software stack. Ideal candidates will not only have experience leading software product engineering teams, but also be motivated to advance the state-of-the-art in a variety of accelerated computing domains. If this sounds exciting, we would love to meet you! What you will be doing: Lead, mentor, and grow your library engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of your libraries. Work closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of scientific computing, programming systems, and AI to help collect requirements for your products as well as contribute to the development of technology roadmaps. Interact with external partners and researchers to understand their use cases and requirements. What we need to see: PhD or MSc degree in Computer Science, Applied Math, or related science or engineering field is preferred or equivalent experience. 8+ years of overall experience in developing high-performance numerical software. 3+ years of experience recruiting, training and leading software engineering teams. Strong fundamentals in numerical methods such as computational linear algebra. Hands-on experience with object oriented design, development, testing, maintenance, and performance optimization of HPC software using C++ and Python. Strong collaboration, communication, and documentation habits. Experience with agile software development practices using project management tools such as JIRA. Ways to stand out from the crowd: Experience working in a globally distributed organization. Experience with parallel programming, ideally using CUDA, MPI, OpenMP, OpenACC, pthreads. Good knowledge of CPU and/or GPU hardware architecture. Good understanding of Machine Learning and Deep Learning technologies and experience using one or more deep learning frameworks (e.g., PyTorch, JAX, TensorFlow...). NVIDIA is widely considered to be one of the technology worlds 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! The base salary range is 224,000 USD - 425,500 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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. Apply Job!