Engineering Manager, Math Libraries

NVIDIA

. Lead, mentor, and develop the team .

Posted 9/29/2026full-timeUnited StatesSeniorLead💰 $224,000 - $431,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading and mentoring software engineering teams while ensuring platform readiness through high-performance numerical software development. Proficient in C++ and Python, with a strong foundation in numerical methods, performance optimization, and CI/CD practices.

Highest-signal resume keywords

C++ ProgrammingPython ProgrammingHigh-Performance Computing (HPC)CI/CD SystemsNumerical Methods

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Applicant Tracking System Keywords

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Hard Skills

Object-Oriented ProgrammingParallel ComputingPerformance OptimizationSoftware Architecture DevelopmentDefect TriagePerformance TestingCross-Platform Software DevelopmentMath Libraries (BLAS, LAPACK, FFT)CUDAMPI

Soft Skills

LeadershipMentoringCollaborationCommunicationDocumentation

Tools & Technologies

JIRACI/CD ToolsGPU-Accelerated ComputingOpenMPOpenACCPthreads

Certifications & Qualifications

PhD or MSc in Computational Science and EngineeringISO 26262 Compliance

Industry Keywords

Safety-Critical SoftwareEmbedded EnvironmentsAgentic AIPlatform ReadinessFunctional Qualification

Tech Stack

Tools & technologies

PythonC++

About the role

Key responsibilities & impact

Lead, mentor, and develop the 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
Fix bugs to ensure functional correctness and refer to library specialists 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
Coordinate dependencies across library teams, CUDA, compilers, QA, release processing, and platform organizations with product, engineering, and program managers

Requirements

What you’ll need

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 CI/CD systems and project management tools such as JIRA
Experience with CUDA, GPU-accelerated computing, and parallel programming such as MPI, OpenMP, OpenACC, and pthreads
Familiarity with math libraries including BLAS, LAPACK, FFT, and sparse solvers
Proven track record using Agentic AI to boost efficiency and code quality
Experience with cross-platform software development and platform bring-up across multiple architectures
Experience delivering software for safety-critical or embedded environments such as DriveOS and ISO 26262

Benefits

Comp & perks

Equity
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