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Remote Nvidia Machine Learning Jobs in Powder Springs, GA

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

... and machine learning models. What We Are Looking For: We are seeking an experienced and highly ... Flexible work environment and remote work options. Join us and be part of a team building ...

AI Engineer

Atlanta, GA ยท On-site +1

AI Engineer | US | Remote Travel obsessed? Big tech fan? Hey, you're in good company. If you want ... Apply machine learning and data analysis techniques to improve model performance * Assist in fine ...

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

... and machine learning models. What We Are Looking For: We are seeking an experienced and highly ... Flexible work environment and remote work options. Join us and be part of a team building ...

Senior DevOps Engineer (US REMOTE)

Atlanta, GA ยท Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

New

SDLC Engineer - AI Trainer

Atlanta, GA ยท Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Showing results 1-20

Remote Nvidia Machine Learning information

See Powder Springs, GA salary details

$24.1K

$40.3K

$83.3K

How much do remote nvidia machine learning jobs pay per year?

As of Jun 25, 2026, the average yearly pay for remote nvidia machine learning in Powder Springs, GA is $40,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,800.00 and $43,600.00 per year, depending on experience, location, and employer.

Can you work for NVIDIA remotely?

Remote Nvidia machine learning roles are available, with many positions allowing employees to work from home depending on the team and project requirements. Candidates typically need strong technical skills in machine learning, experience with Nvidia tools like CUDA, and may require specific certifications or hardware setup for remote work. Availability varies by role and location policies.

Which 5 jobs will survive AI?

Remote Nvidia Machine Learning roles are likely to persist as they require specialized skills in AI, deep learning, and GPU programming. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI researchers, software engineers, cybersecurity specialists, and technical trainers, are expected to remain in demand despite AI advancements.

How much do NVIDIA machine learning engineers make?

NVIDIA machine learning engineers typically earn between $100,000 and $160,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized expertise in deep learning and GPU programming can earn higher salaries, often exceeding $180,000. Compensation may also include bonuses and stock options in competitive tech environments.

Is it difficult to get hired at NVIDIA?

Getting hired for a remote Nvidia machine learning role can be competitive due to the company's high standards and specialized skill requirements. Candidates typically need strong expertise in machine learning, deep learning frameworks, and relevant programming languages, along with a solid educational background. Demonstrating experience with Nvidia technologies and certifications can improve chances of selection.

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

AspectRemote Nvidia Machine LearningRemote Data Scientist
Required CredentialsDeep learning, GPU programming, Nvidia certificationsStatistics, programming, data analysis
Work EnvironmentFocus on GPU-accelerated ML models, Nvidia toolsData analysis, modeling, visualization
Industry UsageAI, autonomous vehicles, gaming, HPCBusiness analytics, research, finance

Remote Nvidia Machine Learning specialists focus on developing GPU-accelerated AI models using Nvidia technologies, often requiring specific certifications and expertise in GPU programming. In contrast, Remote Data Scientists analyze data, build predictive models, and interpret results across various industries. While both roles involve data and programming skills, Nvidia Machine Learning roles are more specialized in GPU-based AI development, whereas Data Scientists have broader data analysis responsibilities.

What cities near Powder Springs, GA are hiring for Remote Nvidia Machine Learning jobs? Cities near Powder Springs, GA with the most Remote Nvidia Machine Learning job openings:
Senior Enterprise Architect

Senior Enterprise Architect

TIER4 GROUP

Atlanta, GA โ€ข On-site, Remote

Full-time

Posted 20 days ago


Job description

Senior Enterprise Architect โ€“ Shape the Future of Technology

Location: Atlanta, GA* (Hybrid Remote) | Position Type: Full-Time


Are you ready to take on a career-defining opportunity as the first Senior Enterprise Architect in our organization? This is a rare and exciting "first-to-the-team" role where you will not only lead an architecture team (Data Architecture, System Architecture, Application Architecture) but also build the Enterprise Architecture function from the ground up. As a key strategic leader, youโ€™ll design and implement our technology vision, aligning it with business goals to drive innovation, scalability, and efficiency across the enterprise.


This is your chance to make a lasting impact by creating a world-class architecture function that supports a rapidly growing organization. If youโ€™re a trailblazer who thrives in greenfield opportunities, this is the role for you!


What Youโ€™ll Do


Establish and Lead the Enterprise Architecture Function

  • Develop the organizationโ€™s first-ever Enterprise Architecture framework, strategy, and roadmap.
  • Implement and chair the Architecture Review Board (ARB) to ensure alignment across business and technology.
  • Define and communicate the technology vision and lead strategic discussions with senior executives, portfolio managers, and stakeholders.
  • Build and manage a high-performing architecture team, including System Architects and Data Architects.

Design Scalable, Future-Ready Solutions

  • Lead the creation of a robust architectural runway to support Agile Release Trains (ARTs) and Solution Trains.
  • Partner with Agile Teams, Product Managers, and Solution Architects to define and implement innovative, scalable solutions.
  • Streamline the technology portfolio by identifying opportunities to reduce complexity, redundancy, and total cost of ownership.

Drive Innovation Across the Enterprise

  • Champion emerging technologies, including Cloud, Big Data, AI, and Machine Learning, to future-proof the organization.
  • Establish and promote enterprise-wide architectural standards to ensure consistency, quality, and best practices.
  • Mentor and inspire Agile Teams to adopt Continuous Delivery Pipeline (CDP) and DevOps capabilities.

Lead Enabler Epics and Architecture Initiatives

  • Guide Enabler Epics through the Portfolio Kanban to ensure alignment with business priorities.
  • Collaborate with cross-functional teams to decompose epics into actionable features and capabilities.
  • Play a key role in SAFe (Scaled Agile Framework) events such as PI Planning, System Demos, and design reviews.

Be a Visionary Leader

  • Act as a thought leader and advocate for Lean-Agile practices across the organization.
  • Build and foster a collaborative, innovative culture focused on continuous improvement.
  • Lead a Community of Practice for architecture and mentor the next generation of technical leaders.


What Youโ€™ll Bring

  • Education: Bachelorโ€™s degree in Computer Science, Engineering, or a related field (Masterโ€™s degree or certifications like TOGAF, SAFe are a plus).
  • Experience: Minimum of 7+ years in enterprise architecture or technology leadership roles, with proven success in creating large-scale architectures.
  • Technical Expertise: Deep knowledge of Cloud, Big Data, AI, Machine Learning, system integration, IT governance, and application design. Familiarity with platforms like Salesforce, Appian, and Enterprise systems.
  • Leadership Skills: Demonstrated ability to build and lead teams, influence stakeholders, and drive organizational change.
  • Framework Knowledge: Experience with SAFe principles and Agile practices.
  • Communication Skills: Strong verbal and written communication skills to effectively bridge technical and non-technical audiences.
  • Visionary Mindset: Ability to think strategically, align technology with business goals, and implement solutions that deliver maximum value.


Why This Role?

This is more than a job; itโ€™s an opportunity to build a legacy. As the first Senior Enterprise Architect in our organization, you will have unparalleled autonomy to shape the future of technology and make a measurable impact. Youโ€™ll work alongside forward-thinking leaders in a collaborative, fast-paced environment that values innovation, leadership, and excellence.


If youโ€™re ready to lead, build, and innovate, weโ€™d love to hear from you. Apply now to take the next step in your career as a technology trailblazer!



*potentially open to remote candidates in EST or CST with willingness to travel as often as monthly