429 matching jobs for “GPU Software Development Engineer”

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Nvidia

Software Engineering Intern, Deep Learning - 2027

China, Shanghai +1 location

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized …

Added Oct 27, 2026

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Applied Materials

Principal Software Architect- High Performance Computing

Bengaluru, Karnataka, India +1 location

… growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies—like machine learning and …

Added Oct 27, 2026

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Nvidia

Senior Compiler Engineer, AI Inference Platforms

Santa Clara, California, United States +4 locations

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized …

Added Oct 31, 2026

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Nvidia

Image and Data Processing Libraries Intern

Warsaw, Mazovia, Poland +1 location

Around the world, leading commercial and academic organizations are using GPU to redefine AI, scientific and engineering simulations, and data analytics. Did you know that the GPU …

Added Oct 27, 2026

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Thermo Fisher Scientific

Staff Systems Engineer – Compute Infrastructure

Eindhoven, North Brabant, The Netherlands

… the environment, making sure our food is safe or helping find cures for cancer. Description Join our Software Deployment Platform (SDP) team as a Staff Engineer - Compute Infrastructure. The Software Deployment …

Added Oct 16, 2026

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Nvidia

Principal Graphics Developer Tools Engineer

Santa Clara, California, United States +4 locations

… Developer Tools team is seeking an exceptional technical leader to help shape the future of graphics development. This role spans multiple areas of NVIDIA's graphics software ecosystem, driving innovation across …

Added Oct 31, 2026

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Nvidia

Senior Developer Technology Engineer - Agentic AI

Santa Clara, California, United States

… we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which the GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s …

Added Oct 27, 2026

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Nvidia

Senior Math Libraries Engineer - Dense Linear Algebra

Santa Clara, California, United States +5 locations

We are looking for software engineers to join our development efforts in the area of dense linear algebra kernels for high-performance …

Added Oct 27, 2026

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Nvidia

Senior Math Libraries Engineer - Direct Sparse Solvers

Santa Clara, California, United States +1 location

We are looking for software engineers to join our development efforts in cuDSS, a CUDA library for direct solvers for sparse linear …

Added Oct 31, 2026

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Nvidia

Manager, Molecular Simulation Engineering

Santa Clara, California, United States

… with NVIDIA and external partners, and support team growth. What You'll Be Doing: Lead, hire, and develop software engineers within a collaborative unit; build a culture of ownership, engineering excellence, and direct …

Added Oct 31, 2026

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Nvidia

Senior Math Libraries Engineer - Sparse Linear Algebra

Santa Clara, California, United States +1 location

We are looking for software engineers to join our development efforts in the area of sparse linear algebra kernels for high-performance …

Added Oct 31, 2026

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Intel

Diagnostics Firmware Engineer

Bengaluru, Karnataka, India

Build the Future of AI and GPU Computing Are you passionate about computer graphics, artificial intelligence, and solving complex …

Added Oct 27, 2026

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Nvidia

Math Device Extension Libraries Intern - 2027

Warsaw, Mazovia, Poland +3 locations

We are looking for software engineering interns to help us expand our catalog of Device eXtension (Dx) APIs for our math libraries. For …

Added Oct 28, 2026

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Nvidia

Image and Data Processing Libraries Intern

Warsaw, Mazovia, Poland +1 location

Join our multidisciplinary team and help build and improve GPU and CPU accelerated software libraries. Starting from powering AI, data analytics, image processing, …

Added Oct 27, 2026

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Nvidia

Manager, First Time Deployment - NVIS

Santa Clara, California, United States

… globally. What you will be doing: Recruit & manage a team of solutions architects, system/network and software engineers focused on large-scale GPU and AI networking deployments. Set priorities, allocate resources, …

Added Oct 27, 2026

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Nvidia

Senior Math Libraries Engineer - Sparsity in AI

Santa Clara, California, United States +1 location

We are looking for software engineers to contribute to the design and development of libraries and tools to simplify and accelerate …

Added Oct 31, 2026

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Nvidia

Senior Architect - Data Processing Systems, Analytics and Data Intelligence

Santa Clara, California, United States +2 locations

… we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s …

Added Oct 27, 2026

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Nvidia

Deep Learning Compiler Engineer

Santa Clara, California, United States +5 locations

Added Oct 27, 2026

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Nvidia

Senior AI and Quant DevTech Engineer

Santa Clara, California, United States +1 location

We are looking for a software engineer with a strong background in parallel processing and GPU architecture to push the limits of …

Added Oct 27, 2026

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Nvidia

Solutions Architect, Financial Services Capital Markets

US, NY, Remote +1 location

… Doing: Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations. Perform …

Added Oct 31, 2026

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Nvidia

Senior Math Libraries Engineer - Dense Linear Algebra

Santa Clara, California, United States +5 more

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About this opportunity

Original employer description

We are looking for software engineers to join our development efforts in the area of dense linear algebra kernels for high-performance libraries such as cuSOLVER. Around the world, leading commercial and academic organizations are revolutionizing AI, data analytics, and scientific and engineering simulations, using data centers powered by GPUs and high-performance linear algebra libraries. Applications of these technologies include computer aided engineering (CAE), electronic design automation (EDA), quantum chemistry, autonomous vehicles, LLMs, computer vision, encryption, and countless others. Did you know our team develops the GPU accelerated libraries and SDKs that help make these possible?

In this role, you will work together with other developers on designing, developing, and optimizing kernels for various algorithms including triangular factorizations, eigenvalue decompositions and singular value decompositions. Ideal candidates will not only have experience developing accelerated computing kernels, but also be motivated to advance the state-of-the-art in a variety of accelerated computing domains. If this sounds exciting, we would love to meet you!

What you will be doing:

Designing, implementing and optimizing scalable high-performance numerical dense linear algebra software on GPUs
Providing technical leadership and guidance to library engineers, QA engineers, and interns working with you on projects
Working closely with product management and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries
Finding and realizing opportunities to improve library quality, performance and maintainability through re-architecting and establishing innovative software development practices

What we need to see:

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, debugging and optimizing high-performance numerical linear algebra software using C++ and parallel programming; ideally using CUDA, MPI, OpenMP, OpenACC, pthreads
Strong fundamentals in numerical methods such as computational linear algebra, linear system solvers, and methods for eigenvalue, singular value, and other decompositions
Experience developing dense linear algebra libraries such as BLAS, LAPACK; and their parallel counterparts like PBLAS and SCALAPACK
Strong collaboration, communication, and documentation habits

Ways to stand out from the crowd:

Good knowledge of CPU and/or GPU hardware architecture
Experience with adopting and advancing, software development practices such as CI/CD systems and project management tools such as JIRA.
Experience with working in a globally distributed organization
Strong background of large-scale computing technologies such as PDE solvers, eigenvalue solvers and time-domain simulation methods (e.g., CFD, FEA)

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing for science and engineering. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world! Join us at the forefront of technological advancement.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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