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Nvidia Engineering Jobs in Seattle, WA (NOW HIRING)

D. or equivalent experience in Computer Science, Computer Engineering, Robotics, Applied Math ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Senior LLVM Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

... for NVIDIA's technical needs through credible engineering arguments, prototypes, and sustained community engagement • Collaborate with internal compiler teams to identify which downstream ...

Act as the main technical contact for strategic NCPs, offer remote and on-site support, troubleshoot complex production problems, and guide partner engineering teams on NVIDIA platform guidelines.

Senior LLVM Compiler Engineer

Redmond, WA

$117K - $160K/yr

Advocate for NVIDIA's technical needs through credible engineering arguments, prototypes, and sustained community engagement * Collaborate with internal compiler teams to identify which downstream ...

Senior Compiler Engineer Infrastructure

Redmond, WA · On-site +1

$121K - $165K/yr

... engineering workflows * Background in GPU programming, CUDA, or parallel programming models * Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs With highly ...

... engineering team. As a Distinguished Engineer, you will be a key technical leader, helping drive technology and product direction, provide deep technical expertise and guidance to the team and NVIDIA ...

This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent ...

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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 Jul 17, 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 in the Nvidia Engineering position, 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 Engineering job?

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 engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, hardware engineering, or systems architecture at leading technology companies can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require extensive experience, advanced skills, and often involve leadership responsibilities or working on high-impact projects.

Is it hard to get hired at NVIDIA?

Getting hired as an engineer at NVIDIA can be competitive due to the company's reputation and high standards. Candidates typically need strong technical skills, relevant experience, and a solid understanding of areas like GPU architecture, software development, or AI. The hiring process often involves multiple interviews and technical assessments.

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.

How much do NVIDIA engineers get paid?

NVIDIA engineers' salaries vary based on experience, role, and location, but the average annual salary for software engineers at NVIDIA typically ranges from $100,000 to $150,000. Senior engineers and those with specialized skills or advanced degrees can earn higher compensation, often including bonuses and stock options. The company also values technical expertise in areas like GPU architecture, AI, and deep learning.

How much do NVIDIA application engineers make?

NVIDIA application engineers typically earn between $80,000 and $130,000 annually, depending on experience, location, and level. Salaries can increase with specialized skills in GPU programming, deep learning, and related tools, and may include bonuses and benefits. Entry-level positions generally start lower, while senior roles can exceed this range.
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:
What cities near Seattle, WA are hiring for Nvidia Engineering jobs? Cities near Seattle, WA with the most Nvidia Engineering job openings:
Senior Software Engineer - NVIDIA Warp

Senior Software Engineer - NVIDIA Warp

Nvidia

Seattle, WA

$139K - $183K/yr

Full-time

Re-posted 22 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job 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 passionate about robotics and ready to expand embedded systems? At NVIDIA, we're developing the future of AI and robotics. Our team is advancing GPU-accelerated simulation and robotics algorithms with NVIDIA Warp. Join us and collaborate with an experienced group committed to pushing the limits in robotics.

What you'll be doing:

  • Own and improve the end-to-end path for deploying Warp-based robotics and simulation components onto embedded platforms such as Jetson.

  • Build and maintain reproducible deployment workflows including cross-compilation, CI, packaging, and containerized delivery for embedded robotics targets.

  • Optimize on-device performance under real constraints including latency, throughput, memory footprint, thermals, and power.

  • Debug complex issues across the stack spanning Python, C++, CUDA, drivers, and embedded Linux, including hard-to-reproduce device-specific failures.

  • Integrate Warp components into robotics applications and frameworks, including ROS 2 and Isaac-based stacks, and work with partner teams to unblock adoption.

  • Develop system-level testing, validation, and performance regression infrastructure for embedded targets.

  • Collaborate with compiler, runtime, and kernel engineers to improve portability and performance across GPU architectures and embedded configurations.

What we need to see:

  • B.Sc. or M.Sc. or Ph.D. or equivalent experience in Computer Science, Computer Engineering, Robotics, Applied Math, Physics, or a related field.

  • 8+ years of experience with software engineering skills in C++ and Python, comfortable working across build systems and deployment tooling.

  • Experience shipping software to embedded or edge devices, ideally in robotics, autonomy, or real-time systems.

  • Practical understanding of Linux-based deployment workflows including packaging, dependencies, drivers, and debugging in constrained environments.

  • Ability to reason about GPU performance and memory behavior, and to diagnose bottlenecks using profiling and system tools.

  • Strong collaboration and communication skills, with a bias toward execution and unblocking users.

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 June 8, 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.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

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