428 matching jobs for “GPU Software Development Engineer”

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Nvidia

System Software Engineer - Base OS (RDSS Intern)

Taiwan, Taipei

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

Added Oct 27, 2026

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Nvidia

Senior Software Triage Engineer - Autonomous Vehicles

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 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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KLA

Software Engineer – IMC Platform and Cluster Infrastructure

Milpitas, California, United States

Full time
Regular

Pay posted by employer$136,300–$231,700 per year

… The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of …

Added Oct 15, 2026

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Nvidia

Senior Software Engineer, Cloud-Native Stack – CSP Engagements

Santa Clara, California, United States +4 locations

… multi-tenant AI/ML datacenters with NVIDIA GB200, and upcoming GB300 GPUs. NVIDIA seeks a Senior Software Engineer for our CSP (Cloud Service Provider) Engagements team to focus on the cloud-native stack for …

Added Oct 27, 2026

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Nvidia

Distinguished Engineer – Data Center System Software Architect

Santa Clara, California, United States

… NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We’re looking for a strong technical architect to own the end-to-end architecture of these products, …

Added Oct 27, 2026

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Nvidia

Principal Software Engineer, Mapping - Autonomous Vehicles

Santa Clara, California, United States +1 location

… data. What we need to see: Strong programming skills in C++ and experience building production-quality software systems. Solid foundation in 3D computer vision, 3D geometry, multi-view geometry, structure from motion, …

Added Oct 27, 2026

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Databricks

Staff Backend Software Engineer- (Databricks AI)

San Francisco, California, United States

Pay posted by employer$166,000–$225,000 USD

… the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure …

Added Oct 4, 2026

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Nvidia

Senior System Software Engineer, NPI Data Center Diagnostics

Santa Clara, California, United States

We are seeking software engineers to work on next-generation graphics and computing products. Our charter is to build the most …

Added Oct 27, 2026

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Nvidia

Senior Systems Software Engineer, Observability and Telemetry Platform

Santa Clara, California, United States +1 location

uses a combination of software and systems engineering practices. This is a highly specialized discipline which demands knowledge across …

Added Oct 27, 2026

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Databricks

Staff Software Engineer- Foundation Model Inference

San Francisco, California, United States

Lead / principal

Pay posted by employer$190,000–$265,000 USD

Added Oct 4, 2026

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Nvidia

Software R&D Engineer, RTL Optimization Tools

Santa Clara, California, United States +1 location

… in parallel computing, machine learning, and novel algorithms in C++. We are seeking an innovative CAD Software Engineer with particular interest in strategies and algorithms for large scale RTL quality, timing, and …

Added Oct 31, 2026

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Nvidia

Senior Software Engineer, At Scale Compute Analysis

Santa Clara, California, United States +4 locations

Added Oct 27, 2026

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Nvidia

Senior Storage Software Engineer, DGXC Data Services

Santa Clara, California, United States +5 locations

… access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to …

Added Oct 27, 2026

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Nvidia

Senior Cloud Software Engineer, DGXC Data Services

Santa Clara, California, United States +1 location

Added Oct 27, 2026

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Nvidia

Software Engineer Intern, AI and DL Kernel Libraries - 2027

China, Shanghai

NVIDIA is looking for outstanding Software Engineer Interns to help develop groundbreaking technologies for AI and deep learning kernel libraries. Our …

Added Oct 27, 2026

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Nvidia

Senior Systems Software Engineer - NV Cloud Functions

Santa Clara, California, United States +1 location

NVIDIA Cloud Functions team is looking for a motivated, product-minded AI/ML Engineer with domain expertise in AI platform engineering at scale. Our team builds and operates a serverless …

Added Oct 27, 2026

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Booz Allen Hamilton

Agentic Systems Full-Stack Software Engineer, Senior

Fayetteville, North Carolina, United States

Pay posted by employer$86,800–$198,000

Agentic Systems Full-Stack Software Engineer, Senior The Opportunity: Most engineering roles ask you to write sof tware. This one asks you to …

Added Oct 27, 2026

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Nvidia

Senior Deep Learning Frameworks CUDA Software Engineer

Santa Clara, California, United States +2 locations

… groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and …

Added Oct 27, 2026

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Nvidia

Senior Software Engineer, AV Planner - Autonomous Vehicles

Santa Clara, California, United States

Added Oct 27, 2026

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Nvidia

Software Engineer – DFT CAD Tools (RDSS Intern)

Taiwan, Taipei

. NVIDIA has continuously reinvented itself over two decades. Our 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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Nvidia

Senior Systems Software Engineer - NV Cloud Functions

Santa Clara, California, United States +1 more

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About this opportunity

Original employer description

NVIDIA Cloud Functions team is looking for a motivated, product-minded AI/ML Engineer with domain expertise in AI platform engineering at scale. Our team builds and operates a serverless deployment platform for enabling AI applications. Our product enables and scales AI inferencing workloads using globally distributed orchestration of workloads on GPU-backed cloud-agnostic Kubernetes clusters. You will be working with a team of passionate and skilled engineers that are continuously innovating at the speed of light to provide the best product possible, for both external customers and internal NVIDIA teams. We are looking for someone to join us at the forefront of defining cloud engineering paradigms for AI at scale.

What You'll be Doing:

Becoming a trusted subject matter expert by understanding user challenges and constraints. Translate this into product requirements and solutions, accelerating delivery of AI models and inference hosted on the NVCF platform.
Leading implementation of key features. Conducting user-acceptance testing, load testing and performance evaluations. Emphasis on customer experience, performance optimization and platform reliability.
Mentoring and embedding with other engineering teams building products on top of our platform on best practices for AI/ML workloads at scale with excellent performance, including ML reliability engineering at scale.
Producing reference architectures to guide customer use cases, applying the newest NVCF product features with the latest AI technologies.
Shepherding customer issues to resolution and providing timely warning of issues and risks.
Evaluating new and innovative technologies and tooling as the AI-at-scale landscape evolves to ensure we have a competitive product and forward-looking roadmap.

What We Need to See:

Masters, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Applied Math, or related field
At least 2 years work experience with Python, Rust, Golang, Linux or Bash.
Experience in Deep Learning and Machine Learning; expertise in using AI/DL frameworks and inferencing software such as SGLang, vLLM, TensorRT-LLM, or Dynamo.
Knowledge of CPU and GPU architecture.
Excellent interpersonal skills including ability to explain sophisticated technical topics to non-experts.
Experience in the design, implementation, and release of AI/ML products to market. A flexible technologist familiar with all aspects of the software development lifecycle.

Ways to stand out from the crowd:

Demonstrate a strong desire to share knowledge with clients, partners and co-workers, able to show this through previous work.
Demonstrate expertise through projects or Open Source contributions in HPC, Data Analytics, Machine Learning, Deep Learning, Cloud Native Projects, Kubernetes, Slurm, or enabling GPU workloads.
Show a willingness and ability to dig into unfamiliar territories to tackle complex problems through examples in previous work.
Prior experience in building distributed systems.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you a creative engineer with a drive for advancing the state of AI and bringing it to the cloud? If you love to tackle problems and advocate for continuous, innovative improvement, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 18, 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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