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

Nvidia

NCX Senior Engineer

Seattle, WA · On-site

$118K - $163K/yr

... teams on NVIDIA platform guidelines. Deploy and manage AI workloads across DGX Cloud, NCP data ... D. in Computer Science, Computer/Electrical Engineering, or a related technical field, or ...

Nvidia

NCX Senior Engineer

Seattle, WA · On-site

$118K - $163K/yr

... data to improve availability, performance, and fleet efficiency. Extensive knowledge of ... science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for ...

Nvidia

NCX Senior Engineer

Seattle, WA · On-site

$118K - $163K/yr

... data to improve availability, performance, and fleet efficiency. * Extensive knowledge of ... science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for ...

Nvidia

NCX Senior Engineer

Seattle, WA · On-site

$118K - $163K/yr

... NVIDIA platform guidelines. * Deploy and manage AI workloads across DGX Cloud, NCP data centers ... D. in Computer Science, Computer/Electrical Engineering, or a related technical field, or ...

Nvidia

Senior System Software Engineer

Redmond, WA

$137K - $180K/yr

Apache Spark is the most popular data processing engine in data centers. At NVIDIA, we are ... science or a related field (or equivalent experience) Proficiency in C++, Java, Scala Experience ...

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Nvidia Data Scientist information

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$52K

$186.4K

$275K

How much do nvidia data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for nvidia data scientist in Renton, WA is $186,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $150,800.00 and $192,000.00 per year, depending on experience, location, and employer.

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 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 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 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?

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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, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $186,374 per year, or $89.6 per hour.

Senior Software Engineer, Quantum Applied Research

Nvidia

Redmond, WA • Hybrid

$137K - $180K/yr

Full-time

Re-posted 6 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a senior engineer at the intersection of quantum computing, distributed systems, and advanced data platforms. This role will help path-find the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms.

At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Senior Software Engineer, you will design and build data interfaces, orchestration layers, and system foundations that connect applications, simulation environments, AI models, and emerging computing systems. You will develop scalable data architectures, synthetic data generation pipelines, and agentic systems that enable advanced prediction, analysis, and co-design across complex systems. You will collaborate across Product, Engineering, and Applied Research to explore new platform capabilities for accelerated computing. Do you enjoy building new system abstractions, working across disciplines, and operating at the frontier of software, AI, and physics? If yes, we would love to hear from you!

What you'll be doing:

  • Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs/outputs, and application workflows.

  • Design and implement agentic orchestration frameworks to support modeling, prediction, and coordination across complex computing systems.

  • Develop synthetic data generation pipelines and supporting infrastructure for training, validation, and evaluation of AI-driven models.

  • Implement robust data pipelines, storage systems, and APIs to support high-throughput, low-latency workloads across simulation and real-time environments.

  • Collaborate closely with research and engineering teams to translate domain-specific models and system signals into performant, reliable systems.

What we need to see:

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

  • 10+ years of experience building and operating production-grade software systems, with strong fundamentals in data engineering and distributed systems.

  • Working knowledge of quantum computing concepts and the ability to collaborate effectively with domain experts.

  • Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms).

  • Strong software engineering practices across testing, CI/CD, observability, and performance optimization.

Ways to stand out from the crowd:

  • Experience building simulation or modeling platforms in scientific computing, physics, or hardware-software environments.

  • Experience developing synthetic data pipelines or supporting AI/ML workflows at scale.

  • Familiarity with agentic systems, orchestration frameworks, or AI-driven automation.

  • Deeper exposure to quantum computing concepts, including hardware, control systems, or performance modeling.

  • Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads.

#LI-Hybrid

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

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