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Creative Brain Learning Jobs (NOW HIRING)

Nvidia

Senior Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of ... If you're creative and autonomous, we want to hear from you! Your base salary will be determined ...

Nvidia

Senior Machine Learning Engineer

Santa Clara, CA

$143K - $189K/yr

NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of ... If you're creative and autonomous, we want to hear from you! Your base salary will be determined ...

Water Lily Learning Center

Lead Infant Teacher - OTR

Cincinnati, OH · On-site

$15 - $18/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Creative Curriculum for Infants, Toddlers and Twos, aligned with Ohio's Early Learning and ... Participate in ongoing professional development focused on infant brain development and responsive ...

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Creative Brain Learning information

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$40K

$90.3K

$138K

How much do creative brain learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for creative brain learning in the United States is $90,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $130,000.00 per year, depending on experience, location, and employer.

What is Creative Brain Learning?

Creative Brain Learning refers to an educational approach and program that focuses on enhancing students’ critical thinking, problem-solving, and creative skills through hands-on learning experiences. It often encompasses activities in STEM (Science, Technology, Engineering, and Mathematics), arts, music, and other creative disciplines to help learners develop cognitive flexibility and innovative thinking. Programs under Creative Brain Learning are designed for various age groups and can be found in after-school enrichment classes, workshops, and summer camps. The goal is to nurture curiosity and lifelong learning abilities in participants.

What are the key skills and qualifications needed to thrive as a learning and development specialist, and why are they important?

To thrive as a Learning and Development Specialist, you need expertise in instructional design, curriculum development, and adult learning principles, often supported by a degree in education, instructional design, or a related field. Familiarity with e-learning authoring tools, Learning Management Systems (LMS), and relevant certifications such as CPLP or ATD are typically required. Strong communication, creativity, and organizational skills help to engage learners and effectively deliver training programs. These skills are crucial for designing impactful learning experiences that drive employee growth and organizational success.

What is the difference between Creative Brain Learning vs Creative Director?

AspectCreative Brain LearningCreative Director
CredentialsTypically requires education in education, psychology, or related fields; certifications in teaching or training are commonRequires experience in creative fields, often with a background in design, advertising, or media; a portfolio is essential
Work EnvironmentEducational settings, training centers, online platformsAdvertising agencies, media companies, corporate offices
Industry UsageEducation, training, e-learningAdvertising, marketing, media production

Creative Brain Learning focuses on developing educational content and training programs to enhance cognitive skills, often within educational or online platforms. In contrast, a Creative Director oversees creative projects, manages teams, and guides the visual and conceptual direction of campaigns or media productions. While both roles require creativity, their environments, credentials, and industry applications differ significantly.

What are some common challenges faced by professionals in Creative Brain Learning roles and how can they be addressed?

Professionals in Creative Brain Learning roles often face the challenge of adapting educational strategies to diverse learning styles and needs. Balancing creativity with curriculum standards and ensuring measurable learning outcomes can also be difficult. To address these challenges, successful team members collaborate closely with educators, continually update their knowledge of cognitive and educational research, and employ flexible, student-centered approaches. Regular communication with colleagues and ongoing professional development are key to overcoming these obstacles and fostering a dynamic, supportive learning environment.
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Cities with the most Creative Brain Learning job openings:

What states have the most Creative Brain Learning jobs?

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

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

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Creative Brain Learning jobs near you
Infographic showing various Creative Brain Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $90,276 per year, or $43.4 per hour.

Senior Deep Learning Performance Architect

Nvidia

Santa Clara, CA

$196K/yr

Full-time

Re-posted 4 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

We are now looking for a Senior Deep Learning Performance Architect! NVIDIA is seeking extraordinary architects to develop processor and system architectures that accelerate machine learning, data analytics and high-performance computing applications. This position offers the chance to create a meaningful impact in a dynamic, technology-focused company.

What you will be doing:

  • As a member of our deep learning architecture team, you will craft high performance energy efficient system and processor architectures to extend the state of the art in deep learning.

  • Prototype key deep learning and data analytics algorithms and applications.

  • Analyze trade-offs in performance, cost and power developing analytical models, simulators and test suites.

  • Analyze architecture performance and/or energy efficiency considering deep learning workloads, modeling and prototyping.

  • Collaborate across the company to guide the direction of machine learning, working with software, research and product teams.

What we need to see:

  • Master's or PhD in Computer Science, Electrical Engineering or Computer Engineering, or equivalent experience.

  • 4+ years of relevant work or research experience.

  • A strong foundation in machine learning and deep learning fundamentals to complement your expertise in computer architecture.

  • A strong background in high performance power efficient designs, energy efficient high performance computing, performance analysis and profiling to identify performance bottlenecks.

  • Fluency in programming languages such as Python, C, C++.

  • Experience and familiarity with GPU computing and parallel programming models.

  • You have firsthand work experience with analytical performance modeling, profiling, and analysis.

The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Today, NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as "the AI computing company."

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 in the world working for us. Are you creative and seeking new challenges? If so, we want to hear from you! Come, join our DL Architecture team and help build the real-time, cost-effective AI computing platform driving our success in this exciting and quickly growing field.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 28, 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.

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

Year founded

1993

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