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Parallel Learning Jobs in Texas (NOW HIRING)

Mirantis

Technical Product Manager, AI Storage

Austin, TX · On-site

$165.50K - $191.30K/yr

... for modern AI, machine learning, and data-intensive applications. By combining open source ... You will shape how k0rdent AI reasons about parallel file systems (Lustre, GPFS, BeeGFS, WEKA, VAST ...

IBM

Delivery Consultant, GDPS

Austin, TX

With world-class onboarding, continuous learning, and a supportive culture, IBM offers the tools ... IBM Expert Labs organization is seeking an IBM Geographically Dispersed Parallel Sysplex (IBM GDPS ...

Cymertek

HPC Software Architect

San Antonio, TX · Hybrid

The ideal candidate has a deep understanding of parallel computing, HPC frameworks, and system ... Architect, Machine Learning Architect for HPC, Computational Framework Architect, Advanced ...

IBM Corporation

Delivery Consultant, GDPS

Austin, TX

With world-class onboarding, continuous learning, and a supportive culture, IBM offers the tools ... Strong z/OS, Parallel Sysplex, Networking and Automation skills are required. Implementation of ...

Mirantis

Technical Product Manager, AI Storage

Austin, TX

$165.50K - $191.30K/yr

... for modern AI, machine learning, and data-intensive applications. By combining open source ... You will shape how k0rdent AI reasons about parallel file systems (Lustre, GPFS, BeeGFS, WEKA, VAST ...

Mirantis

Technical Product Manager, AI Storage

Austin, TX

$165.50K - $191.30K/yr

... for modern AI, machine learning, and data-intensive applications. By combining open source ... You will shape how k0rdent AI reasons about parallel file systems (Lustre, GPFS, BeeGFS, WEKA, VAST ...

Mirantis

Technical Product Manager, AI Storage

Austin, TX · On-site +1

$165.50K - $191.30K/yr

... for modern AI, machine learning, and data-intensive applications. By combining open source ... You will shape how k0rdent AI reasons about parallel file systems (Lustre, GPFS, BeeGFS, WEKA, VAST ...

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All JobsParallel Learning JobsParallel Learning Jobs in Texas

Parallel Learning information

See Texas salary details

$32.6K

$76.9K

$150.9K

How much do parallel learning jobs pay per year?

As of May 31, 2026, the average yearly pay for parallel learning in Texas is $76,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,300.00 and $100,600.00 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 Texas? For Parallel Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Parallel Learning jobs in Texas look for? The top searched job categories for Parallel Learning jobs in Texas are:
Parallel Learning jobs near you
Infographic showing various Parallel Learning job openings in Texas as of May 2026, with employment types broken down into 40% Full Time, 50% Part Time, and 10% Nights. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $76,868 per year, or $37 per hour.
Compiler Engineer, Compute Front-End - New College Grad 2026

Compiler Engineer, Compute Front-End - New College Grad 2026

NVIDIA

Austin, TX • On-site

Full-time

Posted 5 days ago

Job description

Job Summary:
NVIDIA is looking for a highly motivated Compiler Software Engineer to join their CUDA Compiler team. The role involves crafting compiler capabilities for high performance parallel applications on NVIDIA's GPUs, focusing on enhancements to the CUDA C++ compiler and ensuring its integration with third-party software.
Responsibilities:
• Design and implement enhancements to the CUDA C++ compiler driver and front-end, ensuring tight integration with industry-leading third-party compiler software.
• Contribute to the CUDA C++ programming language specification and its evolution factoring in support for new GPU hardware capabilities.
• Drive language conformance, front-end robustness, and compile-time improvements that benefit a wide range of users, from deep learning researchers to safety-critical software developers.
• Provide engineering support for the compiler and deliver targeted changes for production customer releases.
• Establish strong customer/partner relationships and trust through excellent execution and high-quality software development.
Qualifications:
Required:
• BS/MS/PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience)
• 1+ years of experience in developing production compilers or related software
• Knowledge of compiler front-end technology
• Advanced C++ development skills, including experience working with large, modularized codebases.
• Strong interpersonal, verbal and written communications skills
• Capability to achieve objectives under tight deadlines
• Experience executing tasks while managing competing priorities
• Experience writing and debugging multithreaded programs
• Deep understanding of technology and passion for what you do with strong teamwork, specifically a proven ability to effectively guide and influence within a dynamic matrix environment
Preferred:
• Strong track-record in compiler engineering with EDG, LLVM-clang or other industrial strength compiler front-end
• Prior work on domain-specific front-ends or IRs such as MLIR, including dialect development or integration with custom compilers.
• CUDA C++ application development experience
• Strong understanding of parallel programming concepts.
• Experience working with Programming Language and programming language standards.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
Nvidia logo

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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