Engineering Manager, Math Libraries Consumer and Embedded Platforms
Core
Lead a team responsible for platform expansion and readiness, enabling CUDA Math Libraries on new and specialized platforms to support AI, data analytics, and scientific simulations.
Role type
Senior Engineering Manager (Accelerated Computing)
Builds
Platform integration, functional qualification, compliance, and performance readiness for CUDA Math Libraries
Domain
High-performance computing, GPU-accelerated computing, embedded platforms
Deliverable
production ML models
Required skills
C++, Python, parallel computing, HPC software architecture, numerical methods, team leadership, CI/CD, performance optimization
Preferred skills
CUDA, GPU-accelerated computing, MPI, OpenMP, OpenACC, pthreads, math libraries (BLAS, LAPACK, FFT, sparse solvers), Agentic AI, cross-platform software development, safety-critical/embedded environments (ISO 26262)
Technologies
CUDA, C++, Python, JIRA, MPI, OpenMP, OpenACC, pthreads, BLAS, LAPACK, FFT
Responsibilities
Lead, mentor, and develop the engineering team; Own end-to-end platform readiness including integration, functional qualification, and compliance; Collaborate with infrastructure teams to establish qualification and validation pipelines; Perform defect triage and isolation of platform-specific problems; Identify performance targets and fix regressions; Define and deliver a technical roadmap for platform readiness; Coordinate dependencies across library teams, CUDA, compilers, QA, and release processing.
Seniority
Senior, hands-on IC with management responsibilities
