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Nvidia Engineering Jobs in Seattle, WA (NOW HIRING)

Nvidia

Senior Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

... engineering actions with infrastructure, operations and product teams. * Participating in cross-functional projects to integrate machine learning capabilities into various NVIDIA products. What we ...

Nvidia

Principal Software Engineer - DGX Cloud

Seattle, WA

$153K - $206K/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.

Nvidia

Senior Software Engineer, CUTLASS Kernels

Redmond, WA · On-site

$137K - $180K/yr

NVIDIA's high-performance computing platforms are powering the AI revolution across many ... Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent ...

Nvidia

Senior Full-Stack Lead Engineer

Seattle, WA · On-site

Establish engineering standards and reusable platforms/design systems to reduce complexity, support load and long-term tech debt. * Collaborate with NVIDIA AI Research teams to identify pain points ...

Nvidia

Senior DL Compiler Engineer -CUDA Tile

Redmond, WA · On-site

$137K - $180K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... D. in Computer Science, Computer Engineering or a related field (or equivalent experience) * 3+ ...

Nvidia

Senior DL Compiler Engineer -CUDA Tile

Redmond, WA · On-site

$137K - $180K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... D. in Computer Science, Computer Engineering or a related field (or equivalent experience) * 3+ ...

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Showing results 21-40

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Nvidia Engineering information

See Seattle, WA salary details

$52.9K

$167.1K

$198K

How much do nvidia engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for nvidia engineering in Seattle, WA is $167,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,600.00 and $196,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Nvidia engineer, and why are they important?

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.

What is an Nvidia engineer?

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.

What types of projects do Nvidia engineers typically work on, and how is teamwork structured within the engineering department?

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.

What are the most commonly searched types of Nvidia Engineering jobs in Seattle, WA? The most popular types of Nvidia Engineering jobs in Seattle, WA are:
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Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in Seattle, WA as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $167,140 per year, or $80.4 per hour.

Senior System Software Engineer - Tegra Tools

NVIDIA

Seattle, WA • On-site

Full-time

Re-posted 10 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Job Summary:
NVIDIA has been transforming computer graphics and accelerated computing for over 25 years, and they are seeking a Senior System Software Engineer to join their Tegra Tools team. This role involves constructing and optimizing software tools for flashing and provisioning NVIDIA chips across various products, collaborating with multiple teams to ensure successful product lifecycle management.
Responsibilities:
• Construct, optimize, and direct software tools and infrastructure for flashing and provisioning NVIDIA chips and platforms across Automotive, Embedded, and Data Center products.
• Coordinate the full tools lifecycle, initiating from pre-silicon software development through silicon bring-up and post-silicon validation connected to flash and provisioning workflows.
• Develop and maintain host and target software tools for flashing and provisioning workflows, assisting both internal NVIDIA teams and external partners working with products for NVIDIA platforms.
• Collaborate with hardware build, architecture, firmware, software, and QA teams to define and deliver tooling requirements across the product lifecycle.
Qualifications:
Required:
• BS or MS degree in Computer Engineering, Computer Science, or related degree or equivalent experience.
• 5+ years of relevant software development experience.
• Strong C/C++ and Python programming skills, with experience shipping production-quality tools.
• Solid understanding of software engineering principles and object-oriented programming.
• Solid knowledge of computer architecture, low-level interfaces, and host-device communication protocols (USB, UART, SPI, PCIe, JTAG).
• Solid comprehension of the SoC boot sequence, spanning from ROM and bootloader phases to kernel initialization, along with the capability to troubleshoot boot failures at multiple points.
• Strong problem-solving and debugging skills, including comfort with tools like GDB and JTAG debuggers.
Preferred:
• Proficient with redefining legacy workflows into agentic.
• Kernel or driver experience on Linux, Android, or Windows platforms.
• Experience developing bare-metal firmware or device drivers on embedded or SoC platforms.
• Familiarity with test automation frameworks and CI/CD pipelines for hardware-in-the-loop testing.
• Experience building internal tooling with frontend components, such as web dashboards, GUIs, or visualization layers for flash status and workflows.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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