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Nvidia Engineering Jobs in Washington (NOW HIRING)

Collaborate with the engineering team to integrate Nvidia technologies into projects. Stay updated on the latest Nvidia technologies and trends. Develop and optimize quantum computing solutions using ...

Collaborate with the engineering team to integrate Nvidia technologies into projects. Stay updated on the latest Nvidia technologies and trends. Develop and optimize quantum computing solutions using ...

Data Center Operations Controls Engineer

Herndon, VA · On-site

$85K - $111K/yr

At NVIDIA, you will be part of an innovative environment, partnering with data center teams, Engineering, and the FOC to achieve a smooth technical roadmap. This role fits those driven to build a ...

Bachelor's Degree in Computer Science, Engineering or related field. * Experience with NVidia, Cray, managing clusters, Slurm, Linux, CUDA, high-speed networks as well as an understanding of the ...

Physical and Spatial AI Engineer III

Arlington, VA · On-site

$66.25 - $88.75/hr

You'll work alongside talented professionals re-imagining and re-engineering operations and ... Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems ...

Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability * Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering ...

Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability * Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering ...

... NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability • Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering, and ...

... NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability • Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering, and ...

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Showing results 1-20

Nvidia Engineering information

See Washington salary details

$52.7K

$166.3K

$197.1K

How much do nvidia engineering jobs pay per year?

As of Jun 10, 2026, the average yearly pay for nvidia engineering in Washington is $166,342.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,900.00 and $195,900.00 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 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 Washington? The most popular types of Nvidia Engineering jobs in Washington are:
What are popular job titles related to Nvidia Engineering jobs in Washington? For Nvidia Engineering jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Nvidia Engineering jobs in Washington look for? The top searched job categories for Nvidia Engineering jobs in Washington are:
What cities in Washington are hiring for Nvidia Engineering jobs? Cities in Washington with the most Nvidia Engineering job openings:
Infographic showing various Nvidia Engineering job openings in Washington as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $166,342 per year, or $80 per hour.
Nvidia Engineer

Nvidia Engineer

Beyond SOF

Washington, DC • On-site

Full-time

Posted 23 days ago


Job description

Role Summary:
The Nvidia Engineer is responsible for
developing and optimizing software and
hardware solutions using Nvidia
technologies.
Main Responsibilities and Duties:
Develop and optimize software and
hardware solutions using Nvidia
technologies.
Collaborate with the engineering team to
integrate Nvidia technologies into
projects.
Stay updated on the latest Nvidia
technologies and trends.
Develop and optimize quantum
computing solutions using Nvidia's
quantum computing platforms.
Collaborate with quantum engineers
to integrate Nvidia's quantum
technologies into the company's
projects.