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Online Nvidia Engineering Jobs (NOW HIRING)

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Online Nvidia Engineering information

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How much do online nvidia engineering jobs pay per year?

As of Aug 8, 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 is an online Nvidia engineer?

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?

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

Principal Machine Learning Engineer, Accelerated Apache Spark

Nvidia Corporation

Santa Clara, CA • On-site

$158K - $212K/yr

Full-time

Re-posted 19 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

NVIDIA is looking for a Machine Learning (ML) Engineer to join the GPU accelerated Apache Spark team. Apache Spark is the most popular data processing engine in data centers for running large scale workloads for ETL, SQL, and ML/DL model training and inference pipelines, spanning many domains and use cases. NVIDIA GPUs offer a promising avenue for significantly speeding up and/or lowering the cost of running Apache Spark applications at massive scales. You will work with the open source community to accelerate Apache Spark with GPUs. You will apply the latest ML/AI methods to empower enterprises to migrate Spark workloads onto GPUs at scale.
What you'll be doing:
  • Design and implement machine learning solutions for performance prediction and optimization of GPU accelerated enterprise Apache Spark workloads.
  • Develop advanced algorithms and adaptive systems to continuously improve the performance of Apache Spark workloads on GPUs.
  • Develop AI-based agents and tools to assist with fixing system issues and application optimization.
  • Collaborate with key partners and customers on the deployment of complex machine learning solutions in various environments.
  • Maintain deep domain expertise by knowing the latest published advances in ML systems and algorithms.
  • Provide technical mentorship and leadership in data science and machine learning to a team of engineers.

What we need to see:
  • BS, MS, or PhD or equivalent experience in Machine Learning, Data Science, Computer Science or a closely related field.
  • 12+ years of professional experience in designing, implementing, and productionizing high-quality ML/DL solutions.
  • 5+ experience as technical lead in ML model development.
  • Proven hands-on experience (2+ years) with large-scale data processing platforms, such as Apache Spark.
  • Proven ability to employ modern tooling and sound techniques for all aspects of crafting, deploying, and maintaining machine learning models.
  • Excellent programming skills in Python and Python data science related libraries like numpy, pandas, scikit-learn, scipy, pytorch, and tensorflow.
  • Deep experience with sophisticated ML methodologies, including LLM/GenAI, reinforcement learning, and adaptive, on-line ML systems.
  • Strong expertise in feature engineering, feature importance assessment, and developing boosted tree model solutions (e.g., XGBoost).

Ways to stand out from the crowd:
  • Understanding of the internal workings and architecture related to Apache Spark.
  • Familiarity with NVIDIA GPUs and CUDA.
  • Experience coding in Scala, Java, and/or C++.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most experienced and dedicated people in the world working for us. If you are passionate about what you do, creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 25, 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.

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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