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Remote Nvidia Deep Learning Jobs in Pennsylvania

We are a globally recognised leader in personal development, and digital learning in the success ... Feel the deep satisfaction of truly making a positive impact on the world Important Note: This path ...

Staff Technical Program Manager

Pittsburgh, PA ยท On-site +1

$125K - $162K/yr

This role will operate across our core machine learning capabilities-specifically partnering with ... Dive Deep Technically: Go beyond surface-level program tracking. Dive deep into ML and behavioral ...

National Account Manager

Ambler, PA ยท Remote

$115K - $120K/yr

As an Account Manager, you will play a pivotal role in building and maintaining deep, enduring ... Possesses a growth mindset, continuously seeking learning opportunities and embracing challenges as ...

Tax Manager

Bala Cynwyd, PA ยท On-site +1

$104K - $137K/yr

By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing ... Mentor and develop junior staff members, fostering a culture of learning, growth, and collaboration ...

$125 - $150/hr

Team oriented, collaborative environment encouraging continuous learning and ambition. * A Macbook ... Deep understanding of data modeling methodologies, including dimensional modeling, normalized ...

Showing results 21-40

Remote Nvidia Deep Learning information

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

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

What are popular job titles related to Remote Nvidia Deep Learning jobs in Pennsylvania? For Remote Nvidia Deep Learning jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Nvidia Deep Learning jobs in Pennsylvania look for? The top searched job categories for Remote Nvidia Deep Learning jobs in Pennsylvania are:
Infographic showing various Remote Nvidia Deep Learning job openings in Pennsylvania as of July 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution.

AWS Technical Labs Developers (Remote)

LearnQuest

Philadelphia, PA โ€ข Remote

Full-time

Re-posted 28 days ago


Job description

We are looking for freelance Technical Lab Developers for a full time project work (lasting cca 4 months) to help us build AWS hands-on labs.

The qualified candidate will have experience developing and deploying solutions using cloud-based services, a deep technical knowledge of multiple IT domains, and excellent writing skills. Additionally, the ideal candidate will have training delivery, or training development experience and be able to provide analysis of learning materials from a technical perspective. Software development experience is highly desirable.

Key job responsibilities: 
  • Dive deep into AWS technologies, such as Big Data, Web Applications, Security, Networking, High Performance Computing, Storage, Databases, Enterprise Applications, Migration Strategies or other solutions areas to understand the services and develop effective training for our customers.
  • Develop and maintain a cohesive set of real-world, scenario-based labs to reinforce the learning objectives.
  • Coordinate with the Technical Curriculum Architect to ensure that hands on labs are built for scalability and long-term support.
  • Utilize automated lab and courseware publishing process to manage and deploy content.
  • Work with the Technical Curriculum Architects to provide support and maintenance for the deployed hands-on labs.
  • Determine services and features to be included in course lab exercises, based on intended audience profile, learning objectives, best practices and strategic initiatives.
  • Collaborate with Subject Matter Experts (including Curriculum Developers, Technical Trainers, Support Engineers, Professional Services, and Solutions Architects) to build technically accurate training that meets the learning objectives.
  • A day in the life Every day is a new adventure! You are assigned to work on a specific course or set of courses. The technology youโ€™ll work with will vary based on the course subject matter. Labs often need to have a few resources created before students can begin a lab. You will create templates and scripts to automate the deployment of these resources. You will document the steps required to complete the lab, including explanations. As you build labs for a course, you will collaborate with Technical Architects, Instructional Designers, and Curriculum Developers to ensure the instructional content and the labs are aligned.
Basic qualifications:
  • 1+ years prior experience designing, deploying, and operating internet-scale applications
  • 2+ years domain expertise in one or more of the following: data analytics, machine learning, data platforms, or general cloud technology
  • Demonstrated ability to work cross-functionally with multiple teams and stakeholders
  • Technical degree (e.g. Computer Science) or 2 years' relevant work experience required Current AWS Certification (Associate or Professional level)
  • Knowledge and/or hands-on experience with AWS infrastructure services. Experience designing, developing, and delivering instructional materials for technical content. Domain expertise in one or more of the following: big data, DevOps, security, systems administration, software development, cloud technology
  • Professional experience building systems on Amazon Web Services
  • Excellent command of English (speaking & writing)
  • Willingness to work across time zones.  Many colleagues are based in the USA