A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We ...
A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We ...
A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We ...
A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We ...
A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We ...
A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We ...
A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We ...
A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We ...
A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We ...
A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We ...
A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We ...
A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We ...
Be Seen First
Client Relations Coordinator
Glendale, CA · On-site
$25 - $35/hr (+ commission)
Proficient in Microsoft Excel with extensive knowledge using pivot tables and formulas * Tech and Internet savvy - comfortable learning and using new software Why Join Our Team? Zero Parallel boasts ...
Quick apply
Be Seen First
Client Relations Coordinator
Glendale, CA · On-site
$25 - $35/hr (+ commission)
Proficient in Microsoft Excel with extensive knowledge using pivot tables and formulas * Tech and Internet savvy - comfortable learning and using new software Why Join Our Team? Zero Parallel boasts ...
Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Parallel Ag is looking to add a ...
Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Parallel Ag is looking to add a ...
About Parallel Works Parallel Works builds and operates ACTIVATE, a control plane for high ... It suits someone who has run scientific or machine learning workloads on a cluster as a user and ...
Quick apply
About Parallel Works Parallel Works builds and operates ACTIVATE, a control plane for high ... It suits someone who has run scientific or machine learning workloads on a cluster as a user and ...
Engineer I, RT 5G Stack
Boston, MA · On-site +1
Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN ... Love of learning complex technology and skills being very hands-on and adapting quickly to dynamic ...
Engineer I, RT 5G Stack
Boston, MA · On-site +1
Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN ... Love of learning complex technology and skills being very hands-on and adapting quickly to dynamic ...
About Parallel Works Parallel Works builds and operates ACTIVATE, a control plane for high ... It suits someone who has run scientific or machine learning workloads on a cluster as a user and ...
About Parallel Works Parallel Works builds and operates ACTIVATE, a control plane for high ... It suits someone who has run scientific or machine learning workloads on a cluster as a user and ...
Sr. Engineer, RT 5G Stack
Boston, MA · On-site +1
Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN ... Love of learning complex technology and skills being very hands-on and adapting quickly to dynamic ...
Sr. Engineer, RT 5G Stack
Boston, MA · On-site +1
Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN ... Love of learning complex technology and skills being very hands-on and adapting quickly to dynamic ...
Parts Professional Shipping/Receiving
Marshall, MO · On-site
$14.25 - $16.50/hr
Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Summary: Performs a variety of ...
New
Parts Professional Shipping/Receiving
Marshall, MO · On-site
$14.25 - $16.50/hr
Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Summary: Performs a variety of ...
New
Parts Professional
Redwood Falls, MN · On-site
$18 - $24/hr
Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Essential Functions: * Offering ...
Parts Professional
Redwood Falls, MN · On-site
$18 - $24/hr
Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Essential Functions: * Offering ...
Sales Professional
Fort Dodge, IA · On-site
Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Do you take pride in knowing your ...
Sales Professional
Fort Dodge, IA · On-site
Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Do you take pride in knowing your ...
Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Parallel Ag has an immediate ...
Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Parallel Ag has an immediate ...
Service Professional/Diesel Mechanic/Technical Minded/Agriculture
Fort Dodge, IA · On-site
$24.25 - $32/hr
Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Responsibilities Summary: * Performs ...
Service Professional/Diesel Mechanic/Technical Minded/Agriculture
Fort Dodge, IA · On-site
$24.25 - $32/hr
Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Responsibilities Summary: * Performs ...
Parts Manager
Wataga, IL · On-site
$70 - $80/hr
Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Essential Functions * Develop a deep ...
Parts Manager
Wataga, IL · On-site
$70 - $80/hr
Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Essential Functions * Develop a deep ...
Parts Manager
Wataga, IL · On-site
Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Essential Functions: To perform this ...
Parts Manager
Wataga, IL · On-site
Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Essential Functions: To perform this ...
Junior HPC Applications Engineer
Chicago, IL · On-site
$65 - $90/hr
About Parallel Works Parallel Works builds and operates ACTIVATE, a control plane for high ... It suits someone who has run scientific or machine learning workloads on a cluster as a user and ...
Junior HPC Applications Engineer
Chicago, IL · On-site
$65 - $90/hr
About Parallel Works Parallel Works builds and operates ACTIVATE, a control plane for high ... It suits someone who has run scientific or machine learning workloads on a cluster as a user and ...
Parallel Learning information
See salary details
$45.7K is the 25th percentile. Wages below this are outliers.
$35K - $46.5K
27% of jobs
$46.5K - $58.1K
10% of jobs
The median wage is $65.8K / yr.
$58.1K - $69.6K
19% of jobs
$69.6K - $81.2K
9% of jobs
$81.2K - $92.7K
5% of jobs
$102K is the 75th percentile. Wages above this are outliers.
$92.7K - $104.3K
5% of jobs
$104.3K - $115.8K
13% of jobs
$115.8K - $127.4K
0% of jobs
$127.4K - $138.9K
0% of jobs
$138.9K - $150.5K
0% of jobs
$150.5K - $162K
11% of jobs
$35K
$82.5K
$162K
How much do parallel learning jobs pay per year?
As of Sep 2, 2026, the average yearly pay for parallel learning in the United States is $82,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $108,000.00 per year, depending on experience, location, and employer.
What is parallel learning?
Parallel learning is an educational approach where students receive supplemental instruction or interventions alongside their regular classroom learning. This method is often used to provide personalized support, such as special education services or targeted skill development, without removing students from their standard curriculum. By running interventions 'in parallel' with general education, students can address specific learning needs while staying engaged with their peers. Parallel learning can take many forms, including small group sessions, individualized instruction, or online modules.
What are the key skills and qualifications needed to thrive as a learning specialist at Parallel Learning?
To thrive as a Learning Specialist at Parallel Learning, you generally need a background in education, special education, or psychology, often with relevant state certification or licensure. Familiarity with digital assessment tools, remote learning platforms, and individualized education program (IEP) software is typically required. Exceptional interpersonal skills, patience, and adaptability distinguish top performers in supporting diverse learners and collaborating with families and teams. These skills ensure personalized, effective interventions and help students reach their educational goals in a virtual environment.
How does a professional in parallel learning typically collaborate with educators, families, and specialists to support student success?
Professionals in Parallel Learning, such as educational therapists or learning specialists, play a key role in fostering collaboration between students, educators, families, and other specialists. They often coordinate with teachers to adapt curriculum, communicate with families about progress and strategies, and consult with speech-language pathologists or occupational therapists as needed. This interdisciplinary teamwork ensures that interventions are aligned and that each student receives consistent, individualized support. Regular meetings, progress updates, and shared goal-setting are common practices in this collaborative environment.
What is the difference between Parallel Learning vs Data Analysis?
| Aspect | Parallel Learning | Data Analysis |
|---|---|---|
| Required Credentials | Often requires knowledge of machine learning, programming, and statistics | Typically requires statistics, Excel, and data visualization skills |
| Work Environment | Tech-focused, research, and development settings | Business, finance, healthcare, and various industries |
| Employer & Industry Usage | Tech companies, startups, research institutions | Corporations, consulting firms, government agencies |
| Common Search & Comparison Intent | Understanding roles related to machine learning and AI | Analyzing data to inform business decisions |
Parallel Learning involves developing machine learning models and algorithms, often in tech or research environments, requiring programming and statistical skills. Data Analysis focuses on examining datasets to extract insights, used across many industries like finance and healthcare. While both roles involve working with data, Parallel Learning emphasizes creating models, whereas Data Analysis emphasizes interpreting data for decision-making.
More about Parallel Learning jobs
What cities are hiring for Parallel Learning jobs?
Cities with the most Parallel Learning job openings:
What states have the most Parallel Learning jobs?
States with the most job openings for Parallel Learning jobs include:
What job categories do people searching Parallel Learning jobs look for?
The top searched job categories for Parallel Learning jobs are:
Full-time
Re-posted 29 days ago
Nvidia rating
9.6
Based on 18 frontline employees who took The Breakroom Quiz
6th of 247 rated software companies
Job description
We are now looking for a Senior GPU & Deep Learning Architect!
The NVIDIA GPU Architecture group is looking for world class architects and software developers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture, especially for deep learning workloads, both training and inference, and maintain our leadership by developing new parallel programming models, and new architectures required to make this successful. In this position, you will be responsible for developing and enhancing various features in the GPU architecture that advance the state of the art in parallel programming models or parallel computing performance. You would interact with other world-class architects and researchers to build simulators, mapping deep learning workloads to current and future hardware, and validate new architectural features.
What you'll be doing:
What we need to see:
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our GPU Architecture team and help us 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 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 January 13, 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.
The NVIDIA GPU Architecture group is looking for world class architects and software developers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture, especially for deep learning workloads, both training and inference, and maintain our leadership by developing new parallel programming models, and new architectures required to make this successful. In this position, you will be responsible for developing and enhancing various features in the GPU architecture that advance the state of the art in parallel programming models or parallel computing performance. You would interact with other world-class architects and researchers to build simulators, mapping deep learning workloads to current and future hardware, and validate new architectural features.
What you'll be doing:
- Design new hardware features for future processing architectures targeted at deep learning workloads, for both training and inference.
- Advance the state of parallel computation.
- Be knowledgeable about future parallel programming models and their impact to hardware.
- Develop software for various hardware simulators, test infrastructures or metrics systems including databases.
- Work in a team to document, design, develop tools to analyze and simulate, validate, and verify functional or performance models.
- Develop tests, testplans, and testing infrastructure for new graphics or parallel processing architectures
- Be hungry to learn and work on simulators, RTL and real silicon.
What we need to see:
- MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience.
- Experience in working with hardware targeted at deep learning, or working on mapping deep learning algorithms to hardware.
- 8+ years of relevant industry experience in GPU or other parallel programming architectures (or other equivalent experience).
- Strong programming ability in C, C++, Perl and Python.
- Background in computer architecture, parallel processing, signal processing and/or high performance computing.
- Knowledge of state of the art in DL algorithms and attention mechanisms is a huge plus.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our GPU Architecture team and help us 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 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 January 13, 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.
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