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Remote Nvidia Data Scientist Jobs (NOW HIRING)

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

Remote Position Summary The Senior Data Scientist provides advanced analytical expertise supporting the SBA OIG Technology Solutions Division through the design, development, deployment, and ...

The data scientist we seek comeswith strong experience in Python and its data science ecosystem ... Please note that remote employment in this role is restricted to candidates residing in states ...

Position Overview We're looking for an experienced Data Scientist to join our team at Knexus. This is a fully remote position for candidates in the continental U.S., with work hours aligned to the ...

The data scientist we seek comes with strong experience in Python and its data science ecosystem ... Please note that remote employment in this role is restricted to candidates residing in states ...

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

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Remote Nvidia Data Scientist information

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$46K

$165K

$243.5K

How much do remote nvidia data scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote nvidia data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nvidia Data Scientist vs Remote Nvidia Machine Learning Engineer?

AspectRemote Nvidia Data ScientistRemote Nvidia Machine Learning Engineer
Required CredentialsAdvanced degree in Data Science, Statistics, or related field; experience with data analysis and visualization toolsAdvanced degree in Computer Science, AI, or related; strong programming and ML framework knowledge
Work EnvironmentData analysis, modeling, and visualization tasks, often collaborating with data teamsDeveloping, deploying, and optimizing machine learning models, often in software development teams
Industry UsageUsed across research, analytics, and data-driven decision-making rolesCommon in AI product development, autonomous systems, and software engineering

The main difference is that Remote Nvidia Data Scientists focus on analyzing data and building statistical models, while Remote Nvidia Machine Learning Engineers develop and implement machine learning algorithms. Both roles require advanced technical skills and often work within the same industry sectors, but their core responsibilities differ in focus and application.

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Infographic showing various Remote Nvidia Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Solutions Architect, Data Center Infrastructure - NVIS

OR • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Posted 11 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

NVIDIA is seeking a Solutions Architect in Data Center Infrastructure to join our Infrastructure Specialists team. Academic and commercial groups worldwide are using NVIDIA products to redefine deep learning, data analytics, and power data centers. Join the team building many of the world's largest and fastest data centers and supercomputers.

NVIDIA is looking for someone who can lead planning and deployments of AI data centers including power/cooling systems, cabling and network provisioning and bring-up/validation. As the NVIS Solutions Architect for Datacenter Infrastructure, you will focus on data center audit, planning and deployment ensuring the integrity of NVIDIA platform infrastructure. Your primary goal will be to guarantee that all aspects of the data center's physical infrastructure are meticulously planned, implemented, and validated to meet NVIDIA reference architectures, operational requirements, and industry standards.

This infrastructure includes architectural systems, power distribution, liquid/air cooling systems, compute, network and cabling (fiber and copper), and telemetry systems. What you will be doing: NVIS Datacenter Engineering and planning: Collaborate with other teams to plan and implement data center infrastructure solutions based on NVIDIA Datacenter reference architecture, including power distribution, cooling systems, network architecture, server hardware, and storage systems. Plan and manage deployment of NVIDIA's pioneering AI infrastructure solutions including highly complex rack-scale, liquid cooled compute and networking hardware systems, in a fluid and fast paced environment.

Conduct pre-deployment planning including reviewing cluster and data center architecture, plan network port mapping and fiber optic cabling BOM, identify potential risks, train vendors and find areas for improvement. Evaluate customers' and partners' infrastructure design proposals for consistency with industry standards and regulatory requirements. Provide feedback and recommendations to improve performance, scalability, and cost-effectiveness.

Perform testing, troubleshooting and validation of compute systems based on collaboration with product and engineering teams. Act as the NVIS mentor providing guidance, mentorship, and support to ensure the NVIS team's success in their respective roles. Quality Assurance: Establish and enforce quality assurance processes to verify that deployments meet established specifications and performance benchmarks.

Conduct thorough bring-up, testing, and validation to validate the functionality and reliability of infrastructure components. Continuous Improvement: Drive continuous improvement initiatives to enhance data center infrastructure efficiency for NVIDIA data center reference architecture and deployment blueprint, resilience, and sustainability. Find opportunities to streamline processes, automate repetitive tasks, and leverage emerging technologies to optimize infrastructure operations.

Collaboration and Communication: Collaborate and communicate across internal teams, external vendors, and customers to facilitate the seamless integration of data center infrastructure solutions. Serve as a domain expert and point of contact for infrastructure-related inquiries and blocking issues. What we need to see: Bachelor's degree (or equivalent experience) in Engineering, Computer Science, Information Technology, or a related field.

Minimum 3+ years of overall experience in enterprise and/or hyperscale data centers with continual infrastructure deployment experience, preferably for high density AI/HPC data centers. Working experience in data center operations, or infrastructure management roles, focusing on large-scale data center deployments. Strong technical knowledge and experience in the data center stack - power distribution, liquid cooling, servers, networking, storage and pre-deployment planning Relevant certification - preferred Demonstrated technical and project leadership under fluid situations, ability to adapt to unknowns and change.

Excellent analytical, problem-solving, and decision-making skills, keen attention to detail, and a commitment to quality. Excellent communication and interpersonal abilities, capable of engaging with various collaborators like customers to enable productive discussions. Organization & Time Management - able to plan, schedule, and organize tasks related to the job to achieve goals within or ahead of established time frames.

Willingness to travel (up to 40%). Way to stand out from the crowd: Linux system administration skills Strong knowledge of whole data center Infrastructure stack Flexible/agile and enjoys solving challenging problems NVIDIA is widely considered one of the world's most desirable employers in technology. We have some of the world's most forward-thinking and passionate people working for us.

If you're 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 124,000 USD - 195,500 USD for Level 3, and 148,000 USD - 235,750 USD for Level 4.

You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 6, 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.


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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