Senior Engineer, Math Libraries – Consumer and Embedded Platforms

NVIDIA

. Ensure platform readiness across Math Libraries, including cuBLAS, cuSPARSE, cuSOLVER, cuFFT, and others, for new and specialized platforms .

Posted 10/5/2026full-timeUnited StatesSenior💰 $152,000 - $287,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing high-performance numerical software with a strong foundation in object-oriented programming, parallel computing, and performance optimization. Proficient in collaborating with cross-functional teams to establish robust CI/CD pipelines and ensure platform readiness across various architectures.

Highest-signal resume keywords

C++ ProgrammingPython ProgrammingCUDAHigh-Performance Computing (HPC)CI/CD Systems

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Object-Oriented ProgrammingPerformance OptimizationNumerical MethodsParallel ComputingSoftware Development Practices

Soft Skills

Strong CommunicationCollaborationDocumentation Habits

Tools & Technologies

JIRAMPIOpenMPOpenACCPthreads

Industry Keywords

Computational ScienceComputer ScienceApplied MathematicsSafety-Critical SoftwareEmbedded Environments

Tech Stack

Tools & technologies

PythonC++

About the role

Key responsibilities & impact

Ensure platform readiness across Math Libraries, including cuBLAS, cuSPARSE, cuSOLVER, cuFFT, and others, for new and specialized platforms
Perform defect triage and isolate platform-specific versus library-specific problems
Fix bugs to ensure functional correctness and refer issues to library specialists as needed
Identify performance targets for new platforms
Establish performance testing and fix performance regressions
Collaborate with CI/CD, build, and test infrastructure teams to establish platform-specific qualification and validation pipelines

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)
5+ years of overall experience in developing high-performance numerical software
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 software development practices, such as CI/CD systems, and project management tools such as JIRA
Experience with CUDA, GPU-accelerated computing, and parallel programming (e.g. MPI, OpenMP, OpenACC, pthreads)
Familiarity with math libraries (BLAS, LAPACK, FFT, sparse solvers)
Proven track record using Agentic AI to boost your efficiency and code quality
Experience with cross-platform software development and platform bring-up across multiple architectures
Background with delivering software for safety-critical or embedded environments (e.g., DriveOS, ISO 26262)

Benefits

Comp & perks

Equity
Benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score