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'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 ...
... Custom Learning Services for Enterprises, Lateral Staffing Solutions, Information Technology ... Parallel programming, LINQ Logic apps Enterprise services Advanced design patterns Analytical ...
... Custom Learning Services for Enterprises, Lateral Staffing Solutions, Information Technology ... Parallel programming, LINQ Logic apps Enterprise services Advanced design patterns Analytical ...
Senior Compiler Engineer Infrastructure
Redmond, WA · On-site
$121K - $165K/yr
... parallel programming models • Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs Company : NVIDIA is a computing platform company operating at the ...
Senior Compiler Engineer Infrastructure
Redmond, WA · On-site
$121K - $165K/yr
... parallel programming models • Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs Company : NVIDIA is a computing platform company operating at the ...
... learning models for business application - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing ...
... learning models for business application - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing ...
ML infrastructure for model serving: real-time inference at 1M+ QPS, multi-model parallel evaluation, feature hydration, model lifecycle from canary deployment through production monitoring Auction ...
ML infrastructure for model serving: real-time inference at 1M+ QPS, multi-model parallel evaluation, feature hydration, model lifecycle from canary deployment through production monitoring Auction ...
ML infrastructure for model serving: real-time inference at 1M+ QPS, multi-model parallel evaluation, feature hydration, model lifecycle from canary deployment through production monitoring * Auction ...
ML infrastructure for model serving: real-time inference at 1M+ QPS, multi-model parallel evaluation, feature hydration, model lifecycle from canary deployment through production monitoring * Auction ...
... learning models for business application PREFERRED QUALIFICATIONS - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel ...
... learning models for business application PREFERRED QUALIFICATIONS - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel ...
Software Development Manager, Analytics and Data Management
Seattle, WA · On-site
$140K - $185K/yr
... machine learning scientists, SDEs, and BI partners across 7 VP organizations to drive long-term ... tactically, managing parallel workstreams without losing sight of the big picture Key job ...
Software Development Manager, Analytics and Data Management
Seattle, WA · On-site
$140K - $185K/yr
... machine learning scientists, SDEs, and BI partners across 7 VP organizations to drive long-term ... tactically, managing parallel workstreams without losing sight of the big picture Key job ...
Senior LLVM Compiler Engineer
Redmond, WA · On-site
$117K - $160K/yr
... parallel programming models • Familiarity with deep learning frameworks and performance‑critical workloads on NVIDIA GPUs Company : NVIDIA is a computing platform company operating at the ...
Senior LLVM Compiler Engineer
Redmond, WA · On-site
$117K - $160K/yr
... parallel programming models • Familiarity with deep learning frameworks and performance‑critical workloads on NVIDIA GPUs Company : NVIDIA is a computing platform company operating at the ...
Senior ML Compiler Engineer
Redmond, WA · On-site
$117K - $160K/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 ...
Senior ML Compiler Engineer
Redmond, WA · On-site
$117K - $160K/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 ...
Senior ML Compiler Engineer
Redmond, WA · On-site
$117K - $160K/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 ...
Senior ML Compiler Engineer
Redmond, WA · On-site
$117K - $160K/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 ...
... machine learning scientists, SDEs, and BI partners across 7 VP organizations to drive long-term ... tactically, managing parallel workstreams without losing sight of the big picture Key job ...
... machine learning scientists, SDEs, and BI partners across 7 VP organizations to drive long-term ... tactically, managing parallel workstreams without losing sight of the big picture Key job ...
Focused on relationships, you are building meaningful client connections, and learning how to ... and parallel processing Conduct and facilitate user acceptance testing (UAT), track defects, and ...
Focused on relationships, you are building meaningful client connections, and learning how to ... and parallel processing Conduct and facilitate user acceptance testing (UAT), track defects, and ...
Senior Embedded Engineer - Space Systems
Seattle, WA · On-site
$141K - $184K/yr
Lead projects from concept to reality, rapidly and effectively High Learning Agility: Love to learn ... parallel systems Anticipation of Needs: Identify problems, think creatively, and rapidly produce ...
Senior Embedded Engineer - Space Systems
Seattle, WA · On-site
$141K - $184K/yr
Lead projects from concept to reality, rapidly and effectively High Learning Agility: Love to learn ... parallel systems Anticipation of Needs: Identify problems, think creatively, and rapidly produce ...
... learning and growing. * Extra Perks: Quarterly bonus plan, tuition reimbursement, employee ... Working knowledge of single systems, parallel rack systems, display cases and walk-in boxes. * 5-7 ...
... learning and growing. * Extra Perks: Quarterly bonus plan, tuition reimbursement, employee ... Working knowledge of single systems, parallel rack systems, display cases and walk-in boxes. * 5-7 ...
... parallel and distributed computing, high-performance computing - PhD, or Master's degree and 4+ years of practical machine learning experience - Experience communicating results to senior leadership ...
... parallel and distributed computing, high-performance computing - PhD, or Master's degree and 4+ years of practical machine learning experience - Experience communicating results to senior leadership ...
Senior Software Engineer, CUTLASS Kernels
Redmond, WA · On-site
$137K - $180K/yr
Write Tensor Core-based deep learning kernels such as grouped-GEMM, attention, and convolution ... highly parallel accelerators. * Deep understanding of computer architecture and some experience ...
Senior Software Engineer, CUTLASS Kernels
Redmond, WA · On-site
$137K - $180K/yr
Write Tensor Core-based deep learning kernels such as grouped-GEMM, attention, and convolution ... highly parallel accelerators. * Deep understanding of computer architecture and some experience ...
Software Development Manager, Analytics and Data Management
Seattle, WA · On-site
$140K - $185K/yr
... machine learning scientists, SDEs, and BI partners across 7 VP organizations to drive long-term ... tactically, managing parallel workstreams without losing sight of the big picture Key job ...
Software Development Manager, Analytics and Data Management
Seattle, WA · On-site
$140K - $185K/yr
... machine learning scientists, SDEs, and BI partners across 7 VP organizations to drive long-term ... tactically, managing parallel workstreams without losing sight of the big picture Key job ...
Senior Software Engineer, CUTLASS Performance
Redmond, WA · On-site
$137K - $180K/yr
Benchmark the performance of state-of-the-art deep learning models' inference and training passes ... Deep understanding of computer architecture and familiarity with GPUs or similar parallel ...
Senior Software Engineer, CUTLASS Performance
Redmond, WA · On-site
$137K - $180K/yr
Benchmark the performance of state-of-the-art deep learning models' inference and training passes ... Deep understanding of computer architecture and familiarity with GPUs or similar parallel ...
Our interests span machine learning for better ranking, reinforcement learning to bring the ... parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS ...
Our interests span machine learning for better ranking, reinforcement learning to bring the ... parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS ...
Parallel Learning information
See Seattle, WA salary details
$52K is the 25th percentile. Wages below this are outliers.
$39.8K - $53K
27% of jobs
$53K - $66.1K
10% of jobs
The median wage is $74.9K / yr.
$66.1K - $79.2K
19% of jobs
$79.2K - $92.4K
9% of jobs
$92.4K - $105.5K
5% of jobs
$116K is the 75th percentile. Wages above this are outliers.
$105.5K - $118.7K
5% of jobs
$118.7K - $131.8K
13% of jobs
$131.8K - $144.9K
0% of jobs
$144.9K - $158.1K
0% of jobs
$158.1K - $171.2K
0% of jobs
$171.2K - $184.4K
11% of jobs
$39.8K
$93.9K
$184.4K
How much do parallel learning jobs pay per year?
As of Jul 1, 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 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.
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.
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 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.
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:
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 searching for a Senior Backend Compiler Engineer with experience in LLVM code generation for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures.
What you will be doing:
Guide the design and implementation of a new LLVM based backend JIT compiler targeting NVIDIA GPUs
Design and develop new compiler passes and optimizations required to meet the high performance and low compilation time requirements of the compiler
Work with global compiler, hardware and application teams to oversee improvements and problem resolutions
Apply and adapt the latest compiler technologies to produce premier, robust, supportable compiler and tools
Get a chance to influence and work on new GPU architectures
What we need to see:
B.S. or higher degree in Computer Science/Engineering or equivalent experience
4+ years of compiler development experience including 3+ years of experience in LLVM with a focus in code generation
Expertise in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR)
Proficient in compiler design and in performance analysis tools
Excellent hands-on C++ programming skills applied to industry standard C++ compilers and development frameworks
Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems
Good communication and documentation skills and self-motivated
Ways to stand out from the crowd:
Masters or PhD preferred, with 5+ years of relevant experience
Experience developing compiler optimizations and code generation for GPUs
Experience in developing CUDA, DirectX, OpenGL/Vulkan applications
You should have strong interpersonal skills and be capable of leading and influencing others in the department
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.
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
Year founded
1993