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Parallel Jobs in Pflugerville, TX (NOW HIRING)

Nvidia

Senior Software Engineer, CUTLASS Platform

Austin, TX · On-site

$121K - $160K/yr

A deep understanding of computer architecture and parallel computing programming models. Ways to stand out from the crowd: Experience writing high-performance kernels at low levels of abstractions ...

Nvidia

Senior Software Engineer, CUTLASS Platform

Austin, TX · On-site

$121K - $160K/yr

A deep understanding of computer architecture and parallel computing programming models. Ways to stand out from the crowd: * Experience writing high-performance kernels at low levels of abstractions ...

Nvidia

GPU Compiler Engineer

Austin, TX · On-site

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.

NVIDIA Gruppe

GPU Compiler Engineer

Austin, TX · On-site

$124 - $242/hr

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.

Nvidia

GPU Compiler Engineer

Austin, TX · On-site

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.

Nvidia Corporation

GPU Compiler Engineer

Austin, TX · On-site

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.

NeoDym Technologies

Business Analyst 3

Austin, TX · On-site

$43.25 - $59.75/hr

Formulates systems to parallel overall business * strategies. Experienced with business process reengineering and identifying new applications of technology to business * problems to make business ...

CYNET SYSTEMS

Software Development Engineer 1

Austin, TX · On-site

$56 - $60/hr

Experience with parallel and asynchronous processing. * Experience with software performance analysis, optimization and low-level programming. * Experience with 3D graphics and OpenCL, DirectX, or ...

BitDeer

AI Storage Solutions Expert

Austin, TX · On-site +1

$180K - $320K/yr

Deploy and operate parallel/distributed storage systems: WEKA, VAST Data, Ceph, DDN/Lustre. Design storage architectures optimized for AI workload patterns - checkpoint I/O bursts, sequential dataset ...

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Showing results 41-60

All JobsParallel JobsParallel Jobs in Pflugerville, TX

Parallel information

See Pflugerville, TX salary details

$23.5K

$49.3K

$85.1K

How much do parallel jobs pay per year?

As of Sep 6, 2026, the average yearly pay for parallel in Pflugerville, TX is $49,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,600.00 and $56,000.00 per year, depending on experience, location, and employer.

What is a parallel?

In the context of computing and technology, 'Parallel jobs' refer to tasks or processes that are executed simultaneously across multiple processors or computers. This approach is commonly used in high-performance computing (HPC), data processing, and scientific research to speed up complex computations by breaking them into smaller, concurrent tasks. Parallel jobs can significantly reduce the time required to process large datasets or perform intensive calculations. They are managed using parallel computing frameworks and often require specialized software and hardware to coordinate the execution of multiple processes. Understanding how to design and manage parallel jobs is essential for roles in data science, engineering, and research fields.

What skills and qualifications are needed to thrive as a parallel?

To thrive as a Parallel Computing Engineer, you need a strong background in computer science, mathematics, and parallel algorithms, often supported by a relevant degree. Proficiency with parallel programming languages (such as CUDA, OpenMP, or MPI), high-performance computing (HPC) clusters, and debugging tools is essential. Strong analytical thinking, collaborative teamwork, and effective problem-solving skills help you stand out in this field. These skills are vital for optimizing computational processes and ensuring efficient, scalable solutions in complex computing environments.

What are common challenges faced by professionals working in parallel computing roles, and how can they be addressed?

Professionals in parallel computing roles often encounter challenges such as debugging complex, concurrent code and optimizing performance across multiple processors. These issues require a solid understanding of parallel algorithms and experience with tools designed for performance profiling and debugging. Collaboration with team members is essential, as projects typically involve working closely with software engineers, system architects, and hardware specialists. To address these challenges, it's helpful to stay current with best practices, participate in code reviews, and leverage community resources and documentation.

What is the difference between Parallel vs Network Engineer?

AspectParallelNetwork Engineer
Required CertificationsCompTIA A+, Cisco CCNA, Network+CCNA, CCNP, CompTIA Network+
Work EnvironmentData centers, server rooms, cloud environmentsCorporate offices, data centers, ISPs
Industry UsageIT, cloud services, data managementTelecommunications, IT, enterprise networks
Common Search/ComparisonParallel vs Network Engineer

Parallel and Network Engineer roles share similar certifications and work environments, often overlapping in IT and data management sectors. However, Parallel roles focus more on parallel processing and computing tasks, while Network Engineers specialize in designing and maintaining network infrastructure. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

What cities near Pflugerville, TX are hiring for Parallel jobs?

Cities near Pflugerville, TX with the most Parallel job openings:

Parallel jobs near you
Infographic showing various Parallel job openings in Pflugerville, TX as of August 2026, with employment types broken down into 2% As Needed, 77% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 70% Physical, 6% Hybrid, and 24% Remote job distribution, with an average salary of $49,252 per year, or $23.7 per hour.

Senior Software Engineer, CUTLASS Platform

Nvidia

Austin, TX • On-site

$121K - $160K/yr

Full-time

Re-posted 6 days ago

Key responsibilities

  • Develop core components of the CUTLASS platform, including Tensor Core MMAs, copies, synchronization barriers, schedulers, and other GPU hardware features in CUDA C++ and CUTLASS Python DSL.

  • Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL by designing dialects and associated compiler passes.

  • Author example kernels utilizing CUTLASS abstractions to demonstrate the use of GPU hardware features for high performance.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since 2017, it has provided the community with C++ and Python abstractions to implement custom matrix multiply (GEMM) and related math and deep learning computations on NVIDIA GPUs.

If you are passionate about designing abstractions for Tensor Core and related GPU hardware features in MLIR, Python, and C++ that enable writing high performance kernels, apply to join the CUTLASS team today. What you'll be doing: Develop core components of the CUTLASS platform including Tensor Core MMAs, copies, synchronization barriers, schedulers, and other GPU hardware features in CUDA C++ and CUTLASS Python DSL. Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL by designing dialects and associated compiler passes.

Author example kernels utilizing CUTLASS abstractions to showcase the use of novel GPU hardware features that are crucial for achieving high performance. Collaborate with GPU architecture, CUDA, and NVVM/PTX compiler teams to provide feedback on programming models and to assess the performance of future GPU hardware features. What we need to see: Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience).

3+ years of relevant industry experience. Strong proficiency in C++ programming and software design, including debugging, performance evaluation, and testing. Experience working with high-performance code generation and knowledge of compiler transformations and optimizations.

A deep understanding of computer architecture and parallel computing programming models. Ways to stand out from the crowd: Experience writing high-performance kernels at low levels of abstractions like NVVM/ PTX for GPUs or other similar parallel processing architectures. Hands-on compiler design experience, particularly in MLIR.

Understanding of deep learning models, algorithms, and frameworks. 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 Deep Learning Library team and help us build the real-time, cost-effective 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 5, 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

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