431 matching jobs for “GPU Software Development Engineer”

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Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.

Thermo Fisher Scientific

Sr. Software Engineer

Guangdong, China

Position Summary: The Senior Software Engineer will contribute to the design, development and continuous improvement of PC-based instrument …

Added Oct 16, 2026

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Nvidia

Senior Architect, GPU and SoC Modeling

Santa Clara, California, United States

… a Senior Architect for GPUs and SoCs: The NVIDIA Architecture Modelling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in the …

Added Oct 27, 2026

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GE HealthCare Technologies

Algorithm Software Engineer

Haifa HEALTHCARE HA IL 2

Summary The Algorithm Software Engineer will contribute to the design, implementation, testing, and performance optimization of …

Added Oct 27, 2026

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Nvidia

Infiniband Network Software Engineer

Ra'anana, Central District, Israel

NVIDIA is looking for an excellent Software Engineer to join the network management team. The team develops software responsible for configuring …

Added Oct 27, 2026

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Nvidia

Embedded Software Engineer - RISCV

Santa Clara, California, United States

NVIDIA is searching for a highly motivated, creative embedded software engineer to join the GPU Software team. As someone who is hardworking and passionate about their work, you …

Added Oct 27, 2026

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Nvidia

Advanced Software Development Engineer

Israel, Yokneam +1 location

The NVIDIA Networking Advanced Development Software team develops innovative software solutions that help shape future NVIDIA products, create new …

Added Oct 27, 2026

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Palo Alto Networks

Principal Engineer Software

Office - USA - CA - Headquarters

Sr Staff Data Center & OpenShift Operations Engineer Position Overview The Senior Data Center Operations Engineer is responsible for the bedrock of our …

Added Oct 27, 2026

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Nvidia

Manager, Solutions Architecture – GPU and Networking Systems

Santa Clara, California, United States +3 locations

NVIDIA is looking for a hands-on Solutions Architect Manager to lead a team of GPU, networking & software solution architects and engineers. Do you want to build and lead a group that …

Added Oct 27, 2026

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Nvidia

Senior Perception Software Engineer

US, CA, Remote +3 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

Senior Perception Software Engineer

US, CA, Remote +3 locations

Added Oct 27, 2026

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Nvidia

Senior System Software Engineer - Platform Software

Santa Clara, California, United States +1 location

NVIDIA is searching for highly motivated, creative engineers to join the Platform Software team. You will work with a team of hardworking software engineers working on all aspects of SOC and system, …

Added Oct 27, 2026

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Nvidia

Graphics System Software Engineer

Santa Clara, California, United States +1 location

Added Oct 27, 2026

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Nvidia

Senior Software Engineer — cuEquivariance

Santa Clara, California, United States

… products, segmented polynomials, and triangle-based operations — targeting peak performance across NVIDIA GPU generations. Be responsible for the end-to-end delivery of GPU-accelerated geometric ML primitives: from …

Added Oct 27, 2026

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Nvidia

Senior System Software Engineer - Simulation Software

Santa Clara, California, United States +3 locations

Added Oct 27, 2026

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Intel

AI Software Development Engineer

PRC, Shanghai

… Collaborating with global RnD teams and leading model developers, we connect LLMs/VLMs, AI Agents, media software stacks, and CPU/GPU/NPU hardware. We tackle core challenges in on-device model deployment and …

Added Oct 27, 2026

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Nvidia

Senior System Software Engineer, Software Defined Networking

Santa Clara, California, United States +1 location

We are looking for a Senior System Software Engineer, Software Defined Networking to design, build, and operate highly performant and scalable SDN …

Added Oct 27, 2026

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Nvidia

Senior Systems Software Engineer

Israel, Tel Aviv

Added Oct 28, 2026

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Nvidia

Software Engineer, OpenShell

US, Remote

… the runtime infrastructure for secure, scalable, production-grade AI agents. As an OpenShell Research Engineer, we will look to you to help bring the latest advances in agentic systems into the runtime, tools, and …

Added Oct 31, 2026

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Nvidia

Senior System Software Engineer

Santa Clara, California, United States +2 locations

Added Oct 27, 2026

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Cisco Systems

Embedded Software Engineer

Lysaker, Norway

… just outside of Oslo, our innovation center is home to 300+ passionate engineers working across hardware, software, mechanics, audio, media processing and artificial intelligence - from concept to product. We strive to …

Added Oct 27, 2026

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Nvidia

Senior Software Engineer — cuEquivariance

Santa Clara, California, United States

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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. Join our group and discover how you can develop a lasting impact on the world.

NVIDIA BioNeMo is building the computational foundation for the next generation of biological discovery. We are looking for a Senior Software Engineer to join the cuEquivariance team — an NVIDIA library that accelerates geometric neural networks on NVIDIA GPUs, enabling researchers in molecular biology, materials science, and physics to train and deploy equivariant models at scale. This team builds and ships the production GPU kernels and software interfaces that power equivariant deep learning throughout the scientific field. The work spans CUDA kernel engineering, Python library development involving both PyTorch and JAX, and direct collaboration with research teams and external framework developers. If you want to work where GPU computing meets graph-based deep learning, this is the role for you. Your work will run in production pipelines across the scientific community.

What You Will Be Doing:

Build, implement, and optimize CUDA kernels for equivariant neural network primitives — tensor products, segmented polynomials, and triangle-based operations — targeting peak performance across NVIDIA GPU generations.
Be responsible for the end-to-end delivery of GPU-accelerated geometric ML primitives: from implementation to validated, production-quality software that external frameworks depend on.
Build and maintain the interfaces for PyTorch and JAX that expose cuEquivariance primitives to application developers and researchers.
Drive CI/CD infrastructure for multi-GPU kernel builds, automated correctness testing, and performance regression tracking.
Collaborate with Applied Science and research teams to evaluate new equivariant architectures and translate prototypes into production kernels.
Engage directly with third-party framework developers and partners to align on interfaces and ensure delivered software integrates cleanly into production pipelines.

What We Need to See:

6+ years of software engineering experience with a strong background in CUDA and GPU programming.
Deep proficiency in C++ and Python; experience building and shipping production libraries used by external developers.
Good foundation in GPU computing: memory hierarchy, warp-level execution, occupancy, and performance profiling methodology.
Experience building or chipping in to production scientific software libraries, ML frameworks, or developer-facing GPU APIs.
Familiarity with concepts in geometric machine learning — equivariance, group representations, irreducible representations, or tensor products — sufficient to work efficiently in the domain.
BS/MS in Computer Science, Physics, Applied Mathematics, or a related field, or equivalent experience.

Ways to Stand Out from the Crowd:

You have chipped in to or deeply used a major neural network framework that respects equivariance: e3nn, MACE, NequIP, SE(3)-Transformers, or similar.
Hands-on experience with Triton kernel development or other GPU kernel authoring tools alongside CUDA.
Experience with mixed-precision or tensor-core-aware algorithm design for scientific or ML workloads.
PhD or equivalent experience in computational chemistry, biophysics, physics, or computer science with a focus on geometric deep learning or HPC.
Contributions to open-source geometric ML or GPU computing projects.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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 21, 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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