$139K - $183K/yr
Collaborate with engineering teams across NVIDIA to ensure seamless integration of your software. * Automate and optimize build, test, integration, and release processes for cloud-native applications.
$139K - $183K/yr
Collaborate with engineering teams across NVIDIA to ensure seamless integration of your software. * Automate and optimize build, test, integration, and release processes for cloud-native applications.
Seattle, WA · On-site
$63 - $81/hr
The NVIDIA Enterprise Experience (NVEX) Solutions Engineering team is looking for a senior Computer or Software Engineer. This person will establish expertise in ground-breaking network technology ...
Seattle, WA · On-site
$63 - $81/hr
The NVIDIA Enterprise Experience (NVEX) Solutions Engineering team is looking for a senior Computer or Software Engineer. This person will establish expertise in ground-breaking network technology ...
$137K - $180K/yr
Collaborate with hardware and software teams to ensure agent-generated code and the underlying platforms are optimized for the latest NVIDIA GPU architectures. * Establish Engineering Standards:
$137K - $180K/yr
Collaborate with hardware and software teams to ensure agent-generated code and the underlying platforms are optimized for the latest NVIDIA GPU architectures. * Establish Engineering Standards:
$153K - $206K/yr
... large engineering org. * Deep familiarity with the operational and deployment aspects of the NVIDIA AI/ML software stack (CUDA, cuDNN, containerization). * Patent contributions or a strong ...
$153K - $206K/yr
... large engineering org. * Deep familiarity with the operational and deployment aspects of the NVIDIA AI/ML software stack (CUDA, cuDNN, containerization). * Patent contributions or a strong ...
Redmond, WA · On-site
$117K - $160K/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... D. in Computer Science, Computer Engineering, related field or equivalent experience * 3+ years of ...
Redmond, WA · On-site
$117K - $160K/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... D. in Computer Science, Computer Engineering, related field or equivalent experience * 3+ years of ...
Redmond, WA · On-site
$137K - $180K/yr
... software engineering in multiple problem domains. Company : NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is ...
Redmond, WA · On-site
$137K - $180K/yr
... software engineering in multiple problem domains. Company : NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is ...
Seattle, WA · On-site
$71.75 - $94.50/hr
A Solutions Architect is the first line of technical expertise between NVIDIA and our customers so you will engage directly with developers, researchers, and data scientists with some of NVIDIA ...
Seattle, WA · On-site
$71.75 - $94.50/hr
A Solutions Architect is the first line of technical expertise between NVIDIA and our customers so you will engage directly with developers, researchers, and data scientists with some of NVIDIA ...
$118K - $163K/yr
Familiarity with deep learning frameworks like PyTorch and TensorFlow NVIDIA offers competitive salaries and a comprehensive benefits package. Our engineering teams are growing rapidly due to ...
$118K - $163K/yr
Familiarity with deep learning frameworks like PyTorch and TensorFlow NVIDIA offers competitive salaries and a comprehensive benefits package. Our engineering teams are growing rapidly due to ...
Influence and drive full-stack adoption of performance optimizations and best practices across NVIDIA SW products & OSS SDKs What we need to see: * BS or MS degree in Computer Engineering, Computer ...
Influence and drive full-stack adoption of performance optimizations and best practices across NVIDIA SW products & OSS SDKs What we need to see: * BS or MS degree in Computer Engineering, Computer ...
Redmond, WA · On-site
$117K - $160K/yr
Joining NVIDIA's DGX Cloud AI Efficiency Team means advancing the performance, efficiency, and ... Experience with performance engineering, benchmarking, profiling, and optimization of complex ...
Redmond, WA · On-site
$117K - $160K/yr
Joining NVIDIA's DGX Cloud AI Efficiency Team means advancing the performance, efficiency, and ... Experience with performance engineering, benchmarking, profiling, and optimization of complex ...
The NVIDIA Experience (NVEX) Solutions Engineering team is looking for a senior Computer or Software Engineer who is ready to become an authority in ground-breaking network technology used in AI ...
The NVIDIA Experience (NVEX) Solutions Engineering team is looking for a senior Computer or Software Engineer who is ready to become an authority in ground-breaking network technology used in AI ...
... NVIDIA solutions. What We Need to See: * Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field. * 12+ years demonstrated ability in the ...
... NVIDIA solutions. What We Need to See: * Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field. * 12+ years demonstrated ability in the ...
$137K - $180K/yr
Using NVIDIA's industry leading simulation & emulation technology. * Mentor architects and engineering teams to grow them into future leaders. * Make key technical decisions even when faced with ...
$137K - $180K/yr
Using NVIDIA's industry leading simulation & emulation technology. * Mentor architects and engineering teams to grow them into future leaders. * Make key technical decisions even when faced with ...
$139K - $183K/yr
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern ... D. in Computer Science, Computer Engineering, a related field, or equivalent experience. * 3+ years ...
$139K - $183K/yr
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern ... D. in Computer Science, Computer Engineering, a related field, or equivalent experience. * 3+ years ...
NVIDIA's GPUs run Deep Learning algorithms, simulating human intelligence, and acts as the brain of ... class engineering teams are growing fast. If you're a creative and autonomous engineer with real ...
NVIDIA's GPUs run Deep Learning algorithms, simulating human intelligence, and acts as the brain of ... class engineering teams are growing fast. If you're a creative and autonomous engineer with real ...
$139K - $183K/yr
... NVIDIA. * Developing a driver that leads the industry in quality and performance. What we need to see: * Hold a B.S. or higher degree in Computer Science/Engineering or similar field or equivalent ...
$139K - $183K/yr
... NVIDIA. * Developing a driver that leads the industry in quality and performance. What we need to see: * Hold a B.S. or higher degree in Computer Science/Engineering or similar field or equivalent ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Cloud Gaming, Game Streaming Engineering, and Streaming Media. If you're a creative engineer who ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Cloud Gaming, Game Streaming Engineering, and Streaming Media. If you're a creative engineer who ...
NVIDIA's GPUs run Deep Learning algorithms, simulating human intelligence, and acts as the brain of ... class engineering teams are growing fast. If you're a creative and autonomous engineer with real ...
NVIDIA's GPUs run Deep Learning algorithms, simulating human intelligence, and acts as the brain of ... class engineering teams are growing fast. If you're a creative and autonomous engineer with real ...
$117K - $160K/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Join our engineering team and collaborate with researchers and infrastructure teams to ensure our ...
$117K - $160K/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Join our engineering team and collaborate with researchers and infrastructure teams to ensure our ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Research and integrate sophisticated software engineering practices, automation tools, and ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Research and integrate sophisticated software engineering practices, automation tools, and ...
$52.9K - $66.1K
1% of jobs
$66.1K - $79.3K
1% of jobs
$79.3K - $92.5K
2% of jobs
$92.5K - $105.7K
5% of jobs
$105.7K - $118.9K
7% of jobs
$129.9K is the 25th percentile. Wages below this are outliers.
$118.9K - $132.1K
10% of jobs
$132.1K - $145.3K
7% of jobs
$145.3K - $158.4K
6% of jobs
$158.4K - $171.6K
4% of jobs
$171.6K - $184.8K
3% of jobs
The median wage is $185.4K / yr.
$184.8K - $198K
52% of jobs
$52.9K
$167.1K
$198K
An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.
Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.
To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.
The most popular types of Nvidia Engineering jobs in Seattle, WA are:
For Nvidia Engineering jobs in Seattle, WA, the most frequently searched job titles are:
The top searched job categories for Nvidia Engineering jobs in Seattle, WA are:
Cities near Seattle, WA with the most Nvidia Engineering job openings:
9.6
Based on 17 frontline employees who took The Breakroom Quiz
7th of 245 rated software companies
For over 25 years, NVIDIA has been revolutionizing computer graphics, PC gaming, and accelerated computing. It's a distinctive heritage of innovation driven by outstanding technology-and remarkable people. Are you passionate about Kubernetes and AI and want to help build the best platform for ML/AI infrastructure? Do you thrive when your work directly empowers teams to push the boundaries of what's possible? We're the DSX Kubernetes Fleet team within NVIDIA's DGX Cloud organization - a collaborative group of cloud platform engineers, architects, and SREs who are passionate about building automation, lifecycle management, and deployment safety to our massive GPU accelerated container platform. We are empowering the world's leading AI teams to train and deploy at AI Factory scale, with resiliency and security as top priorities.
We design and build APIs and workflows that thoughtfully turn high-level deployment intent into production-ready AI infrastructure management. We take pride in owning our code end-to-end, and we care deeply about the full lifecycle of AI Factory Kubernetes clusters, from provisioning through upgrades and decommissioning. We build software in the open, with a goal of enabling new AI Factories to be built at speed of light.
What you will be doing:
Be part of a small, dynamic team exploring innovative ways to simplify the development, deployment, and monitoring of GPU and DPU accelerated applications.
Design and develop software for managing a fleet of Kubernetes clusters for GPUs and DPUs.
Join the core group working on Cloud Native technologies, improving NVIDIA accelerators in the Kubernetes environment.
Collaborate with engineering teams across NVIDIA to ensure seamless integration of your software.
Automate and optimize build, test, integration, and release processes for cloud-native applications.
Efficiently multitask across different projects, addressing evolving priorities effectively.
What we need to see:
BS/MS in Computer Science or related field (or equivalent experience).
10+ years of proven work experience in large scale environments.
Expert-level knowledge in systems programming languages (Go, C) with a solid grasp of Data Structures and Algorithms.
Strong understanding of Container Orchestration Systems (Kubernetes) and Container Technology.
In-depth knowledge and experience with Unix/Unix-like kernel internals, particularly Linux.
Hands-on automation experience with modern infrastructure tools and technologies.
Proven experience in setting up, maintaining, and automating continuous deployment systems.
Strong background in Cloud Computing and Distributed Software design and development.
Understanding of performance, security, and reliability in complex distributed systems.
Ways to stand out from the crowd:
Extensive experience with the Go programming language.
Deep understanding of rack-scale GPU systems
Strong background with Gitlab, Argo, Flux, and other CI/CD systems.
Significant hands-on experience with Containers and Kubernetes.
Hands-on experience with container workload isolation and confidential computing.
Recognized as one of the technology world's most sought-after employers, NVIDIA provides 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.
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.
Sourced by ZipRecruiter
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.
Computer and electronic product manufacturing
10,000+ Employees
Santa Clara, CA, US
1993
