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Software Engineering Manager for High-Performance Linear Algebra Libraries
1 month ago
We are seeking a seasoned software engineering manager to lead our development efforts for high-performance linear algebra libraries in the AI and scientific computing domains.
Around the world, leading commercial and academic organizations are revolutionizing AI, data analytics, and scientific and engineering simulations, using data centers powered by GPUs.
Applications of these technologies include LLMs, computer vision, encryption, computer aided engineering (CAE), electronic design automation (EDA), 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.
Key responsibilities include:
- Leading, mentoring, and growing a library engineering team
- Ensuring the quality and performance of libraries and planning and executing projects
- Collaborating with NVIDIA Research, Developer Technology, and Product Management teams to collect requirements and contribute to technology roadmaps
- Interacting with external partners and researchers to understand use cases and requirements
Requirements include:
- PhD or MSc degree in Computational Science and Engineering, Computer Science, Applied Mathematics, or related science or engineering field (or equivalent experience)
- 8+ years of 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, linear system solvers, and methods for eigenvalue, singular value, and other decompositions
- Hands-on experience with user-facing API design, object-oriented programming, large system software architecture development, testing, maintenance, and performance optimization of HPC software using C++ and Python
- Experience with parallel programming, ideally using CUDA, MPI, OpenMP, OpenACC, pthreads
- Strong collaboration, communication, and documentation habits
- Background with, and motivation to adopt and advance, software development practices such as CI/CD systems and project management tools such as JIRA
Preferred qualifications include:
- Experience developing or using dense linear algebra libraries such as BLAS, LAPACK, and their parallel counterparts like PBLAS and SCALAPACK
- Experience working in a globally distributed organization
- 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)
- Experience leading and mentoring teams in dynamic environments such as concurrent HW and SW development
NVIDIA is a leader in the development of GPU-accelerated computing technologies and is committed to fostering a diverse and inclusive work environment.
We are an equal opportunity employer and welcome applications from qualified candidates of all backgrounds.
Base salary range: $220,000 - $419,750 USD. Equity and benefits will be offered based on individual circumstances.
NVIDIA accepts applications on an ongoing basis.
