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Nvidia Engineering Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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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 Jul 24, 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 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.
More about Nvidia Engineering jobs
What cities are hiring for Nvidia Engineering jobs? Cities with the most Nvidia Engineering job openings:
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Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.
Senior Technical Program Manager, Resilience Automation - DGX Cloud

Senior Technical Program Manager, Resilience Automation - DGX Cloud

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 27 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

5th of 217 rated software companies

Job description

NVIDIA's deep learning platforms have significantly influenced many fields and are widely embraced by top academic institutions, startups, and industry leaders, including the largest Internet companies worldwide. We are looking for an experienced and skilled Technical Program Manager for NVIDIA's DGX Cloud Infrastructure Team. We need dedicated, hardworking, and innovative individuals to help us deliver consistent reliable infrastructure and experience to Researchers.
What you'll be doing:
As a DGX Cloud Technical Program Manager, you will be the vital link between global cloud service providers and NVIDIA engineering teams, delivering reliable cloud infrastructure and user experiences for DGX Cloud customers! You will gather requirements, lead prioritization, schedules, and planning for all phases of the product life cycle. You will manage risks and resolve issues that impact scope, schedule, and quality while ensuring the programs meet their quality standards.
  • Develop and drive delivery of roadmaps and schedules for the many moving parts that need to come together.
  • Manage and improve existing product development; collaborate with engineering management to improve the development workflow and engineering efficiency.
  • You will have the opportunity to interact with diverse technical groups, spanning across both NVIDIA and our Partners.
  • Partner with the engineering team and product management to define project roadmaps, schedules, and achievements.
  • Identify and address risks that impact every element of scope, schedule, and quality.
  • Regularly communicate program status and key issues to management and across teams within the organization.

What we need to see:
  • 10+ years of Program/Project Management experience driving the planning and execution of large programs, software engineering projects in a matrixed environment.
  • Curious, driven and passionate about finding opportunities for process improvement!
  • Experience in successfully leading global projects across time zones.
  • Experience with Jira and/or JAMA, enabling you to guide an engineering team on how to use these tools and implement Agile/scrum processes.
  • Ability to think strategically and tactically and to build consensus in making programs successful; ability to resolve technical issues and resource conflicts.
  • Possess excellent communications and technical presentation skills.
  • MS EE or CS degree, or equivalent experience.

Ways to stand out from the crowd:
  • Highly motivated with strong communication skills, with proven ability to work successfully with multi-functional teams and coordinate effectively across organizational boundaries and geographies.
  • Natural ability to influence without authority.
  • Working knowledge of cloud technologies is a plus.
  • Experience with new product introduction and program managing research teams.
  • Experience with efficiency tools and process automation is a big plus.
  • Direct experience with crafting and rolling out Repair and Breakfix workflows.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 18, 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

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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