NVIDIA is seeking a Solutions Architect in Data Center Infrastructure to join our Infrastructure ... Bachelor's degree (or equivalent experience) in Engineering, Computer Science, Information ...
NVIDIA is seeking a Solutions Architect in Data Center Infrastructure to join our Infrastructure ... Bachelor's degree (or equivalent experience) in Engineering, Computer Science, Information ...
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That means you will be going deep on both - understanding 5G network data, guiding NVIDIA ... MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or a related field-or ...
That means you will be going deep on both - understanding 5G network data, guiding NVIDIA ... MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or a related field-or ...
That means you will be going deep on both - understanding 5G network data, guiding NVIDIA ... MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or a related field-or ...
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Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 hours) Employment Type: FULL_TIME
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NVIDIA is seeking a Solutions Architect in Data Center Infrastructure to join our Infrastructure ... Bachelor's degree (or equivalent experience) in Engineering, Computer Science, Information ...
NVIDIA is seeking a Solutions Architect in Data Center Infrastructure to join our Infrastructure ... Bachelor's degree (or equivalent experience) in Engineering, Computer Science, Information ...
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Quick apply
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Remote Position Summary The Senior Data Scientist provides advanced analytical expertise supporting the SBA OIG Technology Solutions Division through the design, development, deployment, and ...
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Talon Hiring Solutions has a client that is looking for a Data Scientist to join the Data and ... This role is fully remote with some travel to the home office in Birmingham, AL* What You'll Do
Quick apply
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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 ...
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 ...
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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 ...
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 ...
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Actuarial Data Scientist-Remote Apply now Job no: 505199 Work type: Full Time Regular Location: Remote Categories: Actuarial, Analytics/Data Science We are seeking an innovative and analytical ...
Actuarial Data Scientist-Remote Apply now Job no: 505199 Work type: Full Time Regular Location: Remote Categories: Actuarial, Analytics/Data Science We are seeking an innovative and analytical ...
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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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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 ...
Remote Nvidia Data Scientist information
See salary details
$46K - $64K
1% of jobs
$64K - $81.9K
2% of jobs
$81.9K - $99.9K
4% of jobs
$99.9K - $117.8K
9% of jobs
$133.1K is the 25th percentile. Wages below this are outliers.
$117.8K - $135.8K
11% of jobs
$135.8K - $153.7K
7% of jobs
The median wage is $159.5K / yr.
$153.7K - $171.7K
50% of jobs
$171.7K - $189.6K
2% of jobs
$189.6K - $207.6K
1% of jobs
$207.6K - $225.5K
0% of jobs
$225.5K - $243.5K
13% of jobs
$46K
$165K
$243.5K
How much do remote nvidia data scientist jobs pay per year?
What is the difference between Remote Nvidia Data Scientist vs Remote Nvidia Machine Learning Engineer?
| Aspect | Remote Nvidia Data Scientist | Remote Nvidia Machine Learning Engineer |
|---|---|---|
| Required Credentials | Advanced degree in Data Science, Statistics, or related field; experience with data analysis and visualization tools | Advanced degree in Computer Science, AI, or related; strong programming and ML framework knowledge |
| Work Environment | Data analysis, modeling, and visualization tasks, often collaborating with data teams | Developing, deploying, and optimizing machine learning models, often in software development teams |
| Industry Usage | Used across research, analytics, and data-driven decision-making roles | Common 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.
What cities are hiring for Remote Nvidia Data Scientist jobs?
Cities with the most Remote Nvidia Data Scientist job openings:
What are the most commonly searched types of Nvidia Data Scientist jobs?
The most popular types of Nvidia Data Scientist jobs are:
What states have the most Remote Nvidia Data Scientist jobs?
States with the most job openings for Remote Nvidia Data Scientist jobs include:
What are popular job titles related to Remote Nvidia Data Scientist jobs?
For Remote Nvidia Data Scientist jobs, the most frequently searched job titles are:

Solutions Architect, Data Center Infrastructure - NVIS
OR • On-site, Remote
Full-time
Posted 11 days ago
Nvidia rating
9.6
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.
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