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 Architect - Data Processing Systems, Analytics and Data Intelligence

Santa Clara, California, United States +2 more

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About this opportunity

Original employer description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, 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 never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Are you ready to build the future of data processing with NVIDIA? As a Senior Architect in Data Processing Systems for Analytics and Data Intelligence (ADI), you'll define and improve hardware and software architectures for diverse set of data processing workloads. Join us in our mission to deliver outstanding performance at scale, using our accelerated data processing platform that combines CPUs, GPUs, high-bandwidth networking, and more!

What you'll be doing:

Co-design future architectures for NVIDIA's data processing platforms, targeting performance, efficiency, and cost.
Engage deeply with end users, open-source communities, ISVs, storage partners, and CSPs to improve their experience by incorporating customer insights into roadmaps and reference architectures.
Drive full-stack performance optimization, from CUDA kernels and accelerated libraries to system-level IO, shuffle, compression, and data movement.
Collaborate with CPU, GPU, and platform architects to shape hardware features using workload analysis for hardware-software co-design.
Partner with internal teams to build and apply constraint-based frameworks and optimization solvers to navigate complex design trade-offs across competing metrics.
Develop benchmarking frameworks to evaluate performance sensitivities and guide hardware-software co-optimization
Analyze production workloads throughout the data processing landscape to identify compute motifs, IO patterns, and optimization opportunities across the full platform stack.

What we need to see:

MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
8+ years of experience in distributed data platforms, databases, systems engineering, performance architecture, accelerated computing, or HW/SW co-design.
Extensive knowledge in one or more of these areas: data processing systems (databases, query engines, or vector search), accelerated computing, high-performance IO, CPU/GPU architecture, or large-scale performance analysis.
Experience evaluating system-level trade-offs: compute, IO provisioning, memory subsystem development, network topology, and storage tiering across diverse workloads a strong plus.
Ability to translate sophisticated system analysis into clear, actionable recommendations for silicon architects, software engineers, and executive leadership.
Ability to work across matrixed organizations to drive alignment and deliver results.

Ways to stand out from the crowd:

Hands-on experience with GPU-accelerated data processing (cuDF, RAPIDS, cuVS, CUDA).
Deep familiarity with structured data engines and/or vector database systems.
Experience with mathematical optimization solvers and understanding of optimization fundamentals.
Background in network/storage architecture.

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 October 20, 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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