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October 24, 2026

Engineering Manager, Math Libraries (Consumer and Embedded Platforms)

Senior

270,000 - 350,000 USD/yr

Washington, DC

Quick Facts

  • Role: Engineering Manager for platform readiness of CUDA Math Libraries

Description

You will lead and build a team that is accountable for platform integration, functional qualification, compliance, and performance readiness across CUDA Math Libraries for new consumer and embedded platforms. You’ll work closely with core library and DevOps/build/test teams to create consistent qualification and validation pipelines. You’ll also drive defect triage, performance testing, and a scalable technical roadmap as the number and complexity of supported platforms grows.

Responsibilities

  • Lead, mentor, and develop your team
  • Own end-to-end platform readiness: integration, functional qualification, and compliance
  • Collaborate with CI/CD, build, and test infrastructure to establish platform-specific qualification pipelines
  • Triage and isolate defects (platform-specific vs. library-specific), fix issues for functional correctness, and escalate to specialists when needed
  • Define performance targets for new platforms; establish performance testing and address regressions
  • Create and deliver a technical roadmap for platform readiness across many supported platforms
  • Coordinate dependencies with product, engineering, and program managers across library teams, CUDA, compilers, QA, release processing, and platform organizations

Requirements

  • PhD or MSc in Computational Science and Engineering, Computer Science, Applied Mathematics, or related science/engineering field (or equivalent experience)
  • 8+ years 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 fundamental numerical methods and computations in science/engineering and/or deep learning
  • Strong communication, collaboration, and documentation habits
  • Experience with CI/CD systems and project management tools such as JIRA

Benefits

  • Base salary determined by location and experience, with ranges provided for Level 3 and Level 4
  • Eligible for equity and benefits
  • Applications accepted at least until October 12, 2026

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