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Parallel Learning Jobs in Seattle, WA (NOW HIRING)

Nvidia

Senior DL Compiler Engineer- CUDA Tile

Redmond, WA

$137.20K - $180.90K/yr

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...

Amazon

Applied Scientist, Customer360

Seattle, WA · On-site

Our team builds large-scale machine-learning solutions that delight customers with personalized and ... parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS ...

Amazon

Applied Scientist II, Core Search

Seattle, WA · On-site

... parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS ... state-of-the-art deep learning models architecture design and deep learning training and ...

Amazon

Sr. SDE, EC2 Nitro Networking

Seattle, WA · On-site

$139.40K - $183.80K/yr

... parallel computing principles PREFERRED QUALIFICATIONS - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and ...

Amazon

Applied Scientist, Pricing Science

Seattle, WA · On-site

This role requires an individual with exceptional machine learning and predictive modeling skills ... mining, parallel and distributed computing, high-performance computing - 2+ years of hands-on ...

Nvidia

Senior AI Compiler Engineer, MLIR

Seattle, WA · On-site

$139.40K - $183.80K/yr

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...

Nvidia

Solutions Architect, AI and ML

Seattle, WA

$71.75 - $94.50/hr

Experience with Deep Learning at scale * Familiarity with parallel programming and distributed computing platforms We make extensive use of conferencing tools, but occasional travel is required for ...

Nvidia

Solutions Architect, AI and ML

Seattle, WA

$71.75 - $94.50/hr

Experience with Deep Learning at scale * Familiarity with parallel programming and distributed computing platforms We make extensive use of conferencing tools, but occasional travel is required for ...

Nvidia Corporation

Solutions Architect, AI and ML

Redmond, WA · On-site

$70.50 - $93/hr

Experience with Deep Learning at scale * Familiarity with parallel programming and distributed computing platforms We make extensive use of conferencing tools, but occasional travel is required for ...

Nvidia

Solutions Architect, AI and ML

Redmond, WA

$70.50 - $93/hr

Experience with Deep Learning at scale * Familiarity with parallel programming and distributed computing platforms We make extensive use of conferencing tools, but occasional travel is required for ...

Nvidia Corporation

Solutions Architect, AI and ML

Redmond, WA · On-site

$70.50 - $93/hr

Experience with Deep Learning at scale * Familiarity with parallel programming and distributed computing platforms We make extensive use of conferencing tools, but occasional travel is required for ...

Nvidia

Solutions Architect, AI and ML

Redmond, WA

$70.50 - $93/hr

Experience with Deep Learning at scale * Familiarity with parallel programming and distributed computing platforms We make extensive use of conferencing tools, but occasional travel is required for ...

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All JobsParallel Learning JobsParallel Learning Jobs in Seattle, WA

Parallel Learning information

See Seattle, WA salary details

$39.8K

$93.9K

$184.4K

How much do parallel learning jobs pay per year?

As of May 30, 2026, the average yearly pay for parallel learning in Seattle, WA is $93,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,900.00 and $122,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Learning Specialist at Parallel Learning, and why are they important?

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 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 is the difference between Parallel Learning vs Data Analysis?

AspectParallel LearningData Analysis
Required CredentialsOften requires knowledge of machine learning, programming, and statisticsTypically requires statistics, Excel, and data visualization skills
Work EnvironmentTech-focused, research, and development settingsBusiness, finance, healthcare, and various industries
Employer & Industry UsageTech companies, startups, research institutionsCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding roles related to machine learning and AIAnalyzing 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.

What are popular job titles related to Parallel Learning jobs in Seattle, WA? For Parallel Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Parallel Learning jobs in Seattle, WA look for? The top searched job categories for Parallel Learning jobs in Seattle, WA are:
Parallel Learning jobs near you
Senior DL Compiler Engineer- CUDA Tile

Senior DL Compiler Engineer- CUDA Tile

Nvidia

Redmond, WA

$137.20K - $180.90K/yr

Full-time

Posted 19 days ago

Job description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image classification and other areas. Come join us to work with a top-notch team and have broad impact across the entire deep learning community.

What you'll be doing:

  • In this role, you will be working on CUDA Tile, a new tile-based programming model for our GPUs. CUDA Tile shipped with CUDA 13.1 and is a major addition to CUDA (https://developer.nvidia.com/cuda/tile).

  • You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize the performance of tile-based kernels to ensure they execute efficiently across multiple generations of NVIDIA GPU architectures.

  • The scope of these efforts includes defining public APIs, crafting and implementing compiler and optimization techniques, performance optimization, and other general software engineering work.

What we need to see:

  • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering or a related field (or equivalent experience)

  • 3+ years of relevant work or research experience in compiler optimization, performance analysis and IR design.

  • Ability to work independently, define project goals and scope, and lead your own development effort.

  • Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.

  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Ways to stand out from the crowd:

  • Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience.

  • Experience with the following technologies: MLIR, LLVM, XLA, TVM and deep learning models and algorithms.

With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 15, 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.
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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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