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Nvidia Engineering Jobs in Virginia (NOW HIRING)

Deloitte

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 ...

VTG

High-Performance Computing Engineer

Mclean, VA

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 ...

Deloitte

Physical and Spatial AI Engineer III

Rosslyn, VA · On-site

$65.50 - $88/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 ...

Deloitte

Physical and Spatial AI Engineer III

Mclean, VA · On-site

$58 - $78/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 ...

Accenture Federal Services

AI Engineer

Arlington, VA

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 ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

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 ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

... 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 ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

... 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 ...

Deloitte

Physical and Spatial AI Architect

Mclean, VA · On-site

You'll work alongside talented professionals re-imagining and re-engineering operations and ... Strong client experience aligned to NVIDIA and/or Google Cloud Platform stacks, with emphasis on ...

VTG

High-Performance Computing Engineer

Mclean, VA · On-site

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 ...

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All JobsNvidia Engineering JobsNvidia Engineering Jobs in Virginia

Nvidia Engineering information

See Virginia salary details

$46.1K

$145.6K

$172.5K

How much do nvidia engineering jobs pay per year?

As of Jun 12, 2026, the average yearly pay for nvidia engineering in Virginia is $145,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $171,500.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in specialized fields such as software, hardware, or systems engineering at major technology companies can earn $500,000 or more annually, often including bonuses, stock options, and other compensation. Achieving this level typically requires extensive experience, advanced skills, and sometimes leadership roles or executive responsibilities.

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.

Which engineers does NVIDIA hire?

NVIDIA hires a variety of engineers including hardware engineers, software engineers, AI and deep learning engineers, and systems engineers. Candidates typically need strong technical skills, experience with programming languages like C++ and Python, and knowledge of GPU architectures or AI frameworks. The company values innovation, collaboration, and relevant technical certifications or degrees in engineering or computer science.

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 in AI, graphics, or hardware may earn higher compensation, often including bonuses and stock options.
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Nvidia Engineering jobs near you
Data Center Operations Controls Engineer

Data Center Operations Controls Engineer

Nvidia

Herndon, VA

$85K - $111K/yr

Full-time

Posted 29 days ago

Job description

Join NVIDIA's modern team as a Data Center Operations Controls Engineer. This remarkable opportunity allows you to define and manage operational readiness, support, and governance of Cronus, our leading monitoring and control platform. 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 meaningful difference with our newest technology!

What you'll be doing:

  • Work together with Controls engineering to prioritize and coordinate the resolution of critical UI, stability, and interoperability issues affecting data center operations.

  • Lead operational cleanup at live sites, including nuisance alarm reduction, disabled point remediation, and restoration of a usable monitoring baseline.

  • Collaborate with engineering and operations to establish and uphold a consistent Controls version and configuration baseline, including setpoints, thresholds, and alarm defaults.

  • Help establish naming standards, topology mapping methods, and configuration governance to ensure consistency across sites.

  • Own the development and delivery of training, documentation, and knowledge transfer for data center operators and FOC teams using the Controls system.

  • Support the planning and rollout of integrations between Controls and key infrastructure tools (asset, power, and monitoring systems), focusing on operational value and adoption.

  • Define and track key operational metrics, such as incident response times, alarm quality, and configuration compliance, and drive continuous improvement.

What we need to see:

  • 12+ years of experience in operations, controls, or monitoring systems in data center, industrial, or large-scale infrastructure environments.

  • B.S. in related field or equivalent experience.

  • Strong understanding of controls systems, monitoring platforms, or SCADA-like tools, including alarms, setpoints, and configuration management.

  • Proven success partnering with engineering, operations, and vendor teams to stabilize and improve technical platforms.

  • Excellent communication skills, with the ability to translate technical issues into clear operational actions for frontline teams.

  • Track record of defining and using operational metrics to drive performance and reliability improvements.

Ways to stand out from the crowd:

  • Experience in managing data center operations or critical facilities.

  • Experience with Ignition control systems.

  • Background in process control, industrial automation, or building management systems.

  • Experience leading integrations between monitoring platforms and other infrastructure tools.

  • Experience with change process oversight, incident response, and configuration control approaches.

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 12, 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.
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

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