ZipRecruiter

Log In

1

Online Nvidia Engineering Jobs (NOW HIRING)

Nvidia

OR · On-site

NVIDIA is widely recognized as one of the most desirable employers, with some of the most talented ... Build and manage data pipelines for online and offline data storage. * Collaborate across teams to ...

Nvidia

OR

$104K - $143K/yr

Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the ... are responsible for online mapping - including road layouts, lane structures, boundaries ...

Nvidia

OR · On-site

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An ... Define and drive online and offline test strategy and execution at both vehicle and component ...

Nvidia

OR

$122K - $161K/yr

NVIDIA is looking for outstanding software engineers to help us expand our enterprise GPU ... These tools fill roles of both passive background monitoring and active online management with a ...

next page

Showing results 1-20

All JobsOnline Nvidia Engineering Jobs

Online Nvidia Engineering information

See salary details

$46.5K

$146.9K

$174K

How much do online nvidia engineering jobs pay per year?

As of Jun 9, 2026, the average yearly pay for online 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 some common challenges faced by engineers working in online Nvidia engineering roles, and how can they be addressed?

Engineers in online Nvidia roles often encounter challenges such as optimizing performance for GPU-accelerated applications in cloud environments, ensuring security and scalability, and integrating with rapidly evolving technologies. Collaboration across distributed teams and effective communication are key to addressing these challenges. Staying updated with Nvidia’s latest frameworks and participating in peer code reviews can also help engineers adapt to changes and maintain high-quality standards.

What are Online Nvidia Engineers?

Online Nvidia Engineers are professionals who develop, maintain, and optimize software, systems, or platforms that leverage Nvidia technologies, particularly in cloud or online environments. They often work with Nvidia GPUs, CUDA, and related frameworks to accelerate computing tasks, support AI and machine learning workloads, and ensure high performance for online applications. These engineers collaborate with software developers, data scientists, and IT teams to deploy scalable solutions that utilize Nvidia hardware and software, often in data centers or cloud infrastructures.

What is the difference between Online Nvidia Engineering vs Online Nvidia Data Scientist?

AspectOnline Nvidia EngineeringOnline Nvidia Data Scientist
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with GPU architecturesBachelor's or Master's in Data Science, Statistics, or related; knowledge of machine learning
Work EnvironmentCollaborative teams, remote or on-site, focusing on hardware and software developmentData analysis, model development, often remote, focusing on data insights and algorithms
Employer & Industry UsageTech companies, hardware manufacturers, AI research labsTech firms, AI companies, research institutions

Online Nvidia Engineering primarily involves designing and developing GPU hardware and related software, requiring engineering credentials. In contrast, Online Nvidia Data Scientists focus on analyzing data, building models, and deriving insights, requiring data science expertise. Both roles are integral to Nvidia's AI and tech ecosystem but differ in focus and skill set.

What are the key skills and qualifications needed to thrive as an Online Nvidia Engineer, and why are they important?

To thrive as an Online Nvidia Engineer, you need a strong background in computer engineering, programming (especially C++ and Python), and a deep understanding of GPU architectures, often with a relevant degree in computer science or electrical engineering. Familiarity with Nvidia software stacks like CUDA, TensorRT, and development tools such as Git, Jenkins, and cloud platforms is typically required, along with certifications like Nvidia Deep Learning Institute credentials. Exceptional problem-solving, collaboration, and communication skills help you excel in cross-functional teams and adapt to fast-evolving technologies. These skills are critical for creating innovative, high-performance solutions and ensuring the reliability and scalability of Nvidia's online systems.
What cities are hiring for Online Nvidia Engineering jobs? Cities with the most Online Nvidia Engineering job openings:
What are the most commonly searched types of Nvidia Engineering jobs? The most popular types of Nvidia Engineering jobs are:
What states have the most Online Nvidia Engineering jobs? States with the most job openings for Online Nvidia Engineering jobs include:
Online Nvidia Engineering jobs near you
Senior Manager, Software Engineering - Platform Operations

Senior Manager, Software Engineering - Platform Operations

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 3 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. 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.
NVIDIA is seeking a deeply technical and hands-on Senior Software Engineering Manager to lead the development of next-generation AI-driven solutions on the ServiceNow platform to enhance business efficiency and productivity. This role requires strong expertise in platform architecture, full-stack development, and enterprise integrations, along with familiarity in emerging AI paradigms such as Retrieval-Augmented Generation (RAG) and agentic AI.
What You'll Be Doing:
  • Drive the design and implementation of scalable, intelligent workflows and applications across ServiceNow modules such as ITSM and HRSD.
  • Define architectural standards and ensure secure, scalable, and high-performing platform solutions.
  • Own and manage the ServiceNow platform end-to-end, including strategy, roadmap, upgrades, and overall platform health
  • Establish and enforce platform governance standards for architecture, security, scalability, and user experience
  • Ensure high availability, performance, and stability of platform operations and service delivery
  • Lead, mentor, and grow a global team of engineers, including internal staff and external partners
  • Manage vendors and partners to ensure high-quality delivery, performance, and cost efficiency
  • Drive continuous improvement, innovation, and automation to enhance efficiency and user experience

What We Need To See:
  • Bachelor's or Master's degree in Computer Science, Engineering, IT, or related field (or equivalent experience)
  • 6+ years of experience leading and managing high-performing engineering teams
  • 12+ overall years experience with enterprise architecture, IT leadership, or large-scale software engineering and platform management (including SaaS and AI/ML systems)
  • Strong programming skills in Python and experience with system-level development
  • Hands-on experience with test automation, production testing, and automation frameworks
  • Solid understanding of Linux, embedded systems, firmware, and hardware/software integration
  • Deep knowledge of IT Service Management (ITSM) and ServiceNow (HR, Security, Finance modules preferred)
  • Experience with DevOps practices, CI/CD pipelines, Automated testing frameworks, and structured software development methodologies
  • Proven ability to lead complex, cross-functional projects and collaborate across engineering, product, and business teams
  • Strong leadership, communication, problem-solving, and analytical skills, with the ability to drive strategy, process discipline, and organizational change

Ways to stand out from the crowd:
  • Experience implementing enterprise-grade governance for agent systems (controls, audit-ability, monitoring, policy enforcement) in production autonomous workflows
  • Demonstrated wins taking new/open-source agent constructs from POC to production adoption, with clear business impact (cycle time, quality, cost, reliability)
  • Built and scaled an agent platform or agent developer experience used by multiple teams (SDKs, templates, reference apps, reusable building blocks)
  • Clear point of view and real examples on build-vs-use decisions-when to adopt OSS/3P vs build internal primitives-and how to operationalize the choice
  • Deep experience with agent evaluation at scale (long-horizon tasks, tool correctness, reliability testing, automated regressions, offline/online feedback loops)

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 11, 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.
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

View All Nvidia Jobs

Apply