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Creative Learning Systems Jobs (NOW HIRING)

V2X

Instructional Systems Designer

Hartford, CT · On-site

Analyze, design, develop, and maintain creative and innovative learning solutions in a variety of ... Create and maintain objectives, system records, and pull report * Provide technical support to ...

Vectrus, Inc

Instructional Systems Designer

Hartford, CT · On-site

$85 - $105/hr

Analyze, design, develop, and maintain creative and innovative learning solutions in a variety of ... Create and maintain objectives, system records, and pull report * Provide technical support to ...

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How much do creative learning systems jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for creative learning systems in the United States is $43.82, according to ZipRecruiter salary data. Most workers in this role earn between $33.65 and $50.48 per hour, depending on experience, location, and employer.

What is a Creative Learning Systems?

A Creative Learning Systems job typically involves designing, developing, and implementing innovative educational programs that integrate technology, creativity, and hands-on learning experiences. Professionals in this role often work in schools, libraries, or community centers to foster critical thinking, problem-solving, and collaboration among students. They may also support educators by providing training and resources for incorporating creative learning strategies into their curriculum. The goal is to enhance student engagement and improve learning outcomes through interactive and experiential methods.

What does a typical day look like for someone working in Creative Learning Systems?

Professionals in Creative Learning Systems often spend their days designing multimedia learning materials, collaborating with subject matter experts, and evaluating the effectiveness of instructional content. They might participate in team meetings to align on project goals, research cutting-edge educational technologies, and troubleshoot challenges in curriculum delivery. This role frequently involves balancing independent work with cross-functional teamwork, ensuring that learning solutions are both innovative and practical. The variety and collaborative nature of the work environment make each day dynamic and offer strong opportunities for professional growth.

What are the key skills and qualifications needed to thrive in Creative Learning Systems?

To thrive in a Creative Learning Systems role, you should possess a background in instructional design, educational technology, and curriculum development, often supported by a relevant degree or certification. Familiarity with learning management systems (LMS), authoring tools like Articulate Storyline, and digital media production platforms is typically required. Strong communication, innovative thinking, and project management abilities are essential soft skills for collaboration and problem-solving. These skills enable professionals to design engaging learning experiences that effectively meet educational objectives and adapt to evolving instructional needs.

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What states have the most Creative Learning Systems jobs?

States with the most job openings for Creative Learning Systems jobs include:

What job categories do people searching Creative Learning Systems jobs look for?

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Creative Learning Systems jobs near you
Infographic showing various Creative Learning Systems job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $91,151 per year, or $43.8 per hour.

Senior Deep Learning Systems Engineer, Datacenters

Nvidia

Santa Clara, CA • Hybrid

$122K - $167K/yr

Full-time

Re-posted 19 days ago

Key responsibilities

  • Help develop software infrastructure to characterize and analyze deep learning applications

  • Analyze system and software characteristics of deep learning applications

  • Develop analysis tools and methodologies to measure performance metrics and estimate efficiency improvements

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

As NVIDIA makes inroads into the Datacenter business, our team plays a central role in getting the most out of our exponentially growing datacenter deployments as well as establishing a data-driven approach to hardware design and system software development. The role of a Deep Learning Systems Engineer would be to analyze the performance and power consumption of deep learning applications on datacenter-class hardware and significantly influence the design and optimization of datacenters.

Do you want to influence the development of high-performance Datacenters designed for the future of AI? Do you have an interest in system architecture and performance? In this role you will find how CPU, GPU, networking, and IO relate to deep learning (DL) architectures for Natural Language Processing, Computer Vision, Autonomous Driving and other technologies. Come join our team, and bring your interests to help us optimize our next generation systems and Deep Learning Software Stack.

What you'll be doing:

  • Help develop software infrastructure to characterize and analyze a broad range Deep Learning applications

  • Evolve cost-efficient datacenter architectures tailored to meet the needs of Large Language Models (LLMs).

  • Work with experts to help develop analysis and profiling tools in Python, bash and C++ to measure key performance metrics of DL workloads running on Nvidia systems.

  • Analyze system and software characteristics of DL applications.

  • Develop analysis tools and methodologies to measure key performance metrics and to estimate potential for efficiency improvement.

What we need to see:

  • A Bachelor's degree in Electrical Engineering or Computer Science or equivalent experience (Masters or PhD degree preferred).

  • 8 years or more of relevant experience.

  • Experience in at least one of the following:

    • System Software: Operating Systems (Linux), Compilers, GPU kernels (CUDA), DL Frameworks (PyTorch, TensorFlow).

    • Silicon Architecture and Performance Modeling/Analysis: CPU, GPU, Memory or Network Architecture

  • Experience programming in C/C++ and Python. Exposure to Containerization Platforms (docker) and Datacenter Workload Managers (slurm) is a plus.

  • A deep understanding of computer system architecture and performance analysis is essential for success in this role. Applicants should have demonstrated hands-on experience in these domains.

  • Demonstrated ability to work in virtual environments, and a strong drive to own tasks from beginning to end. Prior experience with such environments will make you stand out.

Ways to stand out from the crowd:

  • Background with system software, Operating system intrinsics, GPU kernels (CUDA), or DL Frameworks (PyTorch, TensorFlow).

  • Experience with silicon performance monitoring or profiling tools (e.g. perf, gprof, nvidia-smi, dcgm).

  • In depth performance modeling experience in any one of CPU, GPU, Memory or Network Architecture

  • Exposure to Containerization Platforms (docker) and Datacenter Workload Managers (slurm).

  • Prior experience with multi-site teams or multi-functional teams.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!

#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 May 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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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