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Engineering Manager, Math Libraries Consumer and Embedded Platforms

NVIDIA· Mgmt, Sys SW
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Hybrid (Santa Clara, CA), Hybrid (Remote (Washington DC area)), Hybrid (Remote (Texas)), Hybrid (Remote (Washington)), Hybrid (Remote (Pennsylvania)), Hybrid (Remote (California))$224k - $356.5kFull-timePosted 3w ago

About the role

Software Engineering Manager to lead a team responsible for platform expansion & readiness for CUDA Math Libraries on new and specialized platforms, coordinating across library, devops, and platform teams to ensure functional quality and performance readiness.

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 to 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.

Qualifications

  • 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 overall 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 development, parallel computing, testing, maintenance, and performance optimization of HPC software using C++ and Python.
  • Strong understanding of fundamental numerical methods and computations in science, engineering, and/or deep learning.
  • Strong communication, collaboration, and documentation habits.
  • Experience with, and motivation to adopt and advance, software development practices such as CI/CD systems and project management tools such as JIRA.

Skills

Required:C++PythonLarge system software architectureParallel computingCI/CD

Benefits

  • equity
  • benefits (as listed in the posting)
Last updated Oct 9, 2026. Interested? Apply on the company site.

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