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Nvidia Engineering Jobs (NOW HIRING)

Nvidia

Solutions Architect - OEM AI

Santa Clara, CA

$74 - $97.50/hr

Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies. * Guide the development of Agentic AI ...

Nvidia

Manager, Cybersecurity

New York, NY · On-site

$121K - $164K/yr

You will ensure operational preparedness ismaintainedto support it. You will convert NVIDIA's engineering-first, technology-focused, data-informed defense strategy into practical plans. You will ...

Nvidia

Solutions Architect, OEM AI

Santa Clara, CA

$74 - $97.50/hr

Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies. * Guide the development of Agentic AI ...

Nvidia

OR · On-site

$63 - $83/hr

Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies. * Guide the development of Agentic AI ...

Nvidia

Senior Debugger Software Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

Masters or PhD in Computer Science, Mathematics, or related engineering fields. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most ...

New

Nvidia

Senior Developer Technology Engineer

Santa Clara, CA · Hybrid

$64 - $84.50/hr

... Engineering team is a global network of world-class experts revolutionizing industries through accelerated computing. We empower developers with groundbreaking solutions that solidify NVIDIA ...

Nvidia

OR · Hybrid

$54.50 - $72/hr

... Engineering team is a global network of world-class experts revolutionizing industries through accelerated computing. We empower developers with groundbreaking solutions that solidify NVIDIA ...

Nvidia

Senior Developer Technology Engineer

New York, NY · Hybrid

$59.50 - $78.75/hr

... Engineering team is a global network of world-class experts revolutionizing industries through accelerated computing. We empower developers with groundbreaking solutions that solidify NVIDIA ...

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Nvidia Engineering information

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$46.5K

$146.9K

$174K

How much do nvidia engineering jobs pay per year?

As of Jun 12, 2026, the average yearly pay for nvidia engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 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
Infographic showing various Nvidia Engineering job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.
Solutions Architect - OEM AI

Solutions Architect - OEM AI

Nvidia

Santa Clara, CA

$74 - $97.50/hr

Full-time

Posted 22 days ago

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. Want to be part of the team that empowers NVIDIA's OEM technical counterparts to develop accelerated compute and AI solutions for their customers? We are looking for a hardworking and self-starting Solutions Architect with a passion for accelerated compute, data workflows and AI security to join our Solutions Architecture and Engineering team. This role focuses on scaling the efficiency of our information and protection integrations, ensuring our customers and partners are equipped to build the future of innovative defense.

As a Solutions Architect in Accelerated Compute Data & Security passionate about high-performance computing, you will focus on integrating NVIDIA's software and tools with our OEM partners' offerings. This may involve working with platforms like Splunk, Cisco's AI threat protection and other AI Data Pipeline solutions. Your efforts will center on driving adoption, building proof-of-concept technologies, and aligning our technical messaging with our OEMs' broader product strategies.

What you'll be doing:

  • Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.

  • Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues.

  • Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies.

  • Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection.

  • Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.

What we need to see:

  • BS, MS, or PhD in Computer Science, AI Engineering, Data Science, or a related field (or equivalent experience).

  • 5+ years of experience in roles focused on technology, including Solutions Architecture, Data Science, or AI Research.

  • Deep expertise in supervised and unsupervised machine learning, deep learning, and statistics, specifically applied to loosely-structured data and security logs.

  • Strong coding, debugging, and pipeline development skills using Python, C/C++, Bash, and Linux utilities.

  • Hands-on experience with big data and AI frameworks, including GPU acceleration, Spark, and distributed computing environments.

  • Exceptional communication and presentation skills, with an ability to distill complex technical topics into clear, understandable content for an engaged audience.

  • Strong analytical and problem-solving skills, along with an ability to multitask efficiently in a dynamic environment.

Ways to stand out from the crowd:

  • Direct experience building, deploying, or contributing to NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA or similar NVIDIA accelerated compute libraries.

  • Demonstrated expertise integrating AI workloads with Splunk or data pipeline architectures or AI security protection ecosystems.

  • Experience working in a technical leadership role or principal investigator capacity on large-scale or secure enterprise projects.

  • Background in Agentic AI, LLM deployment, and building ingestion/retrieval technologies.

  • Public speaking experience at industry conferences or large technical events.

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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 24, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.
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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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