Engineering Manager, CUDA Math Libraries Platform Readiness

NVIDIA; Santa Clara (CA); On-site; USD 324,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks a Software Engineering Manager to lead a team expanding the CUDA Math Libraries across new platforms and ensuring readiness, integration, qualification, and performance.

You will mentor engineers, coordinate with CI/CD, build, and test infra teams, drive a scalable platform readiness roadmap, and deliver high-performance numerical software on diverse architectures with equity and benefits.

Qualifications

• PhD or MSc in Computational Science and Engineering, Computer Science, Applied Mathematics, or related field (or equivalent experience).
• 8+ years of experience developing high-performance numerical software.
• 3+ years leading and mentoring software engineering teams.
• Hands-on experience with object-oriented programming, large system software architecture, parallel computing, testing, maintenance, and performance optimization of HPC software using C++ and Python.
• Strong understanding of numerical methods and computations in science, engineering, and/or deep learning.
• Strong communication, collaboration, and documentation habits.
• Experience with CI/CD systems and Jira.

Responsibilities

• Lead, mentor, and develop your team.
• Own end-to-end platform readiness across Math Libraries for specialized platforms including integration, functional qualification, and compliance.
• Collaborate with CI/CD, build, and test infrastructure teams to establish platform-specific qualification and validation pipelines.
• Perform defect triage and isolation of platform-specific versus library-specific problems, fixing bugs to ensure functional correctness, and referring to a library specialist as needed.
• Identify performance targets for new platforms, establish performance testing and fix performance regressions.
• Define and deliver a technical roadmap for platform readiness that scales with the number and complexity of supported platforms.
• Work closely within a team of product, engineering, and program managers for dependency coordination across library teams, CUDA, compilers, QA, release processing, and platform organizations.

Skills

OOP

Parallel computing

Testing

Performance optimization

Numerical methods

Cross-platform development

Team leadership

CUDA

CI/CD

JIRA

Education

PhD or MSc in Computational Science and Engineering / CS / Applied Mathematics or related field

Tools

C++

Python

Job description

NVIDIA seeks a Software Engineering Manager to lead a team expanding the CUDA Math Libraries across new platforms and ensuring readiness, integration, qualification, and performance.

You will mentor engineers, coordinate with CI/CD, build, and test infra teams, drive a scalable platform readiness roadmap, and deliver high-performance numerical software on diverse architectures with equity and benefits.