Engineering Manager, Math Libraries Consumer and Embedded Platforms

Nvidia

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Hybrid

Quick summary

Work type: Hybrid
Location: Santa Clara, CADCTXPAWACA
Salary: $224,000–$356,500 / yr
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $215k

This role $290k

$143k $379k

below market most similar roles pay here above market

This role pays more than 91% of similar roles. Most pay $174,987–$255,250 — the blue band above. At the midpoint, this role pays about $290k versus about $215k for comparable roles.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1472 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1109 roles with salary data.

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At a glance

TL;DR · Engineering Manager, Math Libraries Consumer and Embedded Platforms

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The Engineering Manager, Math Libraries Consumer and Embedded Platforms leads a team responsible for platform expansion and readiness for CUDA Math Libraries on new and specialized platforms. You will manage the end-to-end platform readiness process, including integration, functional qualification, compliance, and performance readiness. Day-to-day responsibilities involve mentoring engineers, performing defect triage, establishing qualification pipelines, and defining technical roadmaps for platform scaling. You will collaborate with CI/CD, build, and test infrastructure teams to ensure high-quality support across diverse architectures. Required skills include C++, Python, object-oriented programming, and experience with parallel computing, HPC software, and numerical methods. The role addresses the technical challenge of providing consistent performance and functional correctness for math libraries across expanding hardware platforms used in AI, data analytics, and scientific simulations.

What does a Engineering Manager earn in California?

Median $281300 from 82 postings across 23 companies.

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Skills

CUDA C++ Python Parallel Computing MPI OpenMP OpenACC pthreads CI/CD HPC BLAS LAPACK FFT GPU-accelerated computing JIRA Object-Oriented Programming Numerical Methods Software Architecture

What you'll do

Lead, mentor, and develop a software engineering team focused on platform expansion.
Own end-to-end platform readiness including integration, functional qualification, and compliance for Math Libraries.
Establish platform-specific qualification and validation pipelines with CI/CD and test infrastructure teams.
Perform defect triage to isolate and fix platform-specific versus library-specific software bugs.
Identify performance targets for new platforms and resolve performance regressions.
Define and deliver a technical roadmap for platform readiness that scales with platform complexity.
Coordinate dependencies across library teams, compilers, QA, and platform organizations.

What we're looking for

PhD or MSc degree in Computational Science and Engineering, Computer Science, Applied Mathematics, or a related field (or equivalent experience).
8+ years of overall experience developing high-performance numerical software.
3+ years of experience leading and mentoring software engineering teams.
Hands-on experience with C++ and Python for object-oriented programming, large system architecture, parallel computing, and HPC performance optimization.
Strong understanding of fundamental numerical methods and computations in science, engineering, and/or deep learning.
Experience with CI/CD systems and project management tools like JIRA.
Experience with CUDA, GPU-accelerated computing, and parallel programming (preferred).
Familiarity with math libraries such as BLAS, LAPACK, FFT, and sparse solvers (preferred).

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