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Nvidia Data Scientist Jobs in Renton, WA (NOW HIRING)

Nvidia

Senior Full-Stack Lead Engineer

Seattle, WA · On-site

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Bachelor's degree or higher in Computer Science or a related technical field (or equivalent ...

Nvidia

Distinguished Engineer - Dynamo

Seattle, WA · On-site

... data center-scale AI inferencing platform. * Collaborate with diverse partner teams at NVIDIA ... What we need to see: * BS, MS, PhD, or equivalent experience in Computer Science, Computer ...

Nvidia

Senior Performance Engineer - DGX Cloud

Redmond, WA · On-site

$117K - $160K/yr

Use profiling, observability, and data analysis to turn performance measurements into actionable ... science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for ...

Nvidia

Senior System Architect, GPU

Redmond, WA

NVIDIA is seeking a motivated system architect to define future aspects of our GPU through ... Proficiency in data analysis (Python, Excel) to correlate configuration changes with performance ...

Nvidia

Senior Software Engineer - DGX Cloud

Seattle, WA · On-site

$139K - $183K/yr

For over 25 years, NVIDIA has been revolutionizing computer graphics, PC gaming, and accelerated ... What we need to see: * BS/MS in Computer Science or related field (or equivalent experience). * 10+ ...

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Nvidia Data Scientist information

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$51.7K

$185.6K

$273.9K

How much do nvidia data scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for nvidia data scientist in Renton, WA is $185,616.00, according to ZipRecruiter salary data. Most workers in this role earn between $150,200.00 and $191,200.00 per year, depending on experience, location, and employer.

Is a Nvidia Data Scientist job still in demand?

Nvidia Data Scientist roles remain in high demand due to the company's focus on AI, machine learning, and deep learning technologies. These positions often require expertise in programming, data analysis, and familiarity with Nvidia's tools like CUDA and GPU computing, making them valuable in industries such as technology, automotive, and healthcare.

What is a Nvidia data scientist?

A Nvidia Data Scientist leverages AI, machine learning, and deep learning to develop models and algorithms that optimize GPU-accelerated computing solutions. They work with large datasets, conduct research, and build scalable data-driven solutions for industries like gaming, autonomous vehicles, and healthcare. Their role involves collaborating with engineers and researchers to improve AI frameworks and performance on Nvidia hardware. Proficiency in Python, deep learning frameworks (TensorFlow, PyTorch), and data analytics is essential.

What are the key skills and qualifications needed to thrive as a Nvidia data scientist, and why are they important?

To thrive as an Nvidia Data Scientist, you need a solid background in statistics, machine learning, computer science, and typically a graduate degree in a related field. Proficiency with Python, deep learning frameworks (such as TensorFlow or PyTorch), GPU computing, and experience with large-scale data systems are highly valued, along with relevant certifications. Analytical thinking, strong problem-solving abilities, and clear communication are soft skills that set candidates apart in this collaborative, fast-evolving field. These capabilities are essential for driving innovation, building robust AI solutions, and contributing effectively to cross-functional teams at Nvidia.

What types of projects does a Nvidia data scientist typically work on, and how do they contribute to the company's core technologies?

Nvidia Data Scientists are often involved in pioneering projects related to AI model development, computer vision, natural language processing, and deep learning applications optimized for GPU hardware. They collaborate closely with research engineers, software developers, and product teams to create scalable AI solutions that enhance Nvidia’s products, ranging from gaming to autonomous systems. A typical week might involve experimenting with new algorithms, analyzing large datasets, optimizing code for GPU acceleration, and translating research breakthroughs into practical applications. This role offers continuous learning opportunities and plays a direct part in shaping industry-leading technologies.

What are popular job titles related to Nvidia Data Scientist jobs in Renton, WA?

For Nvidia Data Scientist jobs in Renton, WA, the most frequently searched job titles are:

What job categories do people searching Nvidia Data Scientist jobs in Renton, WA look for?

The top searched job categories for Nvidia Data Scientist jobs in Renton, WA are:

What cities near Renton, WA are hiring for Nvidia Data Scientist jobs?

Cities near Renton, WA with the most Nvidia Data Scientist job openings:

Nvidia Data Scientist jobs near you
Infographic showing various Nvidia Data Scientist job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $185,616 per year, or $89.2 per hour.

Senior AI Infrastructure Software Engineer - DGX Cloud

Nvidia

Redmond, WA • On-site

$121K - $165K/yr

Full-time

Posted 8 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

Joining NVIDIA's DGX Cloud Lepton Team means contributing to the leading cloud product that powers innovative AI research and developers. We focus on building the AI/ML platform for improving productivity, optimizing efficiency and resiliency of AI workloads, as well as developing scalable AI infrastructure services globally. We are seeking an AI infrastructure software engineer to join our team. You'll be instrumental in designing, building, and maintaining AI platforms that enable large-scale AI training, inferencing, fine-tuning, and Agentic AI in production.

As a senior DGX Cloud AI Infrastructure software engineer at NVIDIA, you will have the opportunity to work on innovative technologies that power the future of AI and be part of a dynamic and supportive team that values learning and growth. The role provides the autonomy to work on meaningful projects with the support and mentorship needed to succeed, and contributes to a culture of blameless postmortems, iterative improvement, and risk-taking. If you are seeking an exciting and rewarding career that makes a difference, we invite you to apply now!

What you'll be doing:

  • Develop platform and tools for large-scale AI, LLM, and GenAI infrastructure.

  • Develop and optimize tools to improve AI/ML workload efficiency and resiliency.

  • Root cause and analyze and triage failures from the application level to the hardware level

  • Enhance infrastructure and products underpinning NVIDIA's AI platforms.

  • Co-design and implement APIs for integration with NVIDIA's resiliency stacks on the platform.

  • Define meaningful and actionable reliability metrics to track and improve system and service reliability.

  • Skilled in problem-solving, root cause analysis, and optimization.

What we need to see:

  • Minimum of 8+ years of experience in developing software infrastructure for large scale AI systems.

  • Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience).

  • Strong debugging skills and experience in analyzing and triaging AI applications from the application level to the hardware level.

  • Proven track record in building and scaling large-scale distributed systems.

  • Experience with AI training and inferencing and data infrastructure services.

  • Familiar in Kubernetes and operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki).

  • Proficiency in programming languages such as Golang, Python, C/C++, script languages

  • Excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem solving, and openness are essential.

Ways to stand out from the crowd:

  • Experience in working with the large scale AI cluster and cloud-native infrastructure

  • Strong understanding of NVIDIA GPUs, network technologies (RDMA, IB, NCCL)

  • Good understanding on DL frameworks internal PyTorch, TensorFlow, JAX, Dynamo, and Ray

  • Experience and root cause analysis of failures and datacenter scale

  • Strong background in software design and development.

NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence.

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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 10, 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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