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Freelance High Performance Computing Engineer Jobs in Texas

Nvidia

Senior CPU Performance Architect

Austin, TX

$165K/yr

... high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and ... What we need to see: * BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or ...

Cymertek

HPC Software Architect

San Antonio, TX · Hybrid

... Engineering, Artificial Intelligence, High-Performance Computing, Numerical Analysis, Scientific Computing, Statistics, Cyber-Physical Systems, etc.ALTERNATE EXPERIENCEGeneral comment on degrees:

Intel

Senior Out-of-Order CPU Architect

Austin, TX

$165K/yr

... high-performance computing and low-power products. This role is integral to Intel's mission to ... Silicon and Platform Engineering Group (SPE): Deliver breakthrough silicon and platform solutions ...

Dell, Inc.

Principal Thermal Engineer

Round Rock, TX · On-site

$144K - $187K/yr

Principal Thermal Engineer Thermal Engineering leads and delivers the development of innovative and ... High Performance Computing (HPC), Edge computing devices and enterprise networking, server and ...

Baylor Genetics

Sr HPC Engineer

Houston, TX · On-site

$96K - $132K/yr

JOB SUMMARY We are seeking a Senior HPC Engineer with deep hands-on experience in high-performance computing (HPC), hybrid cloud infrastructure, and large-scale genomic data platforms. This role will ...

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Freelance High Performance Computing Engineer information

How do freelance High Performance Computing (HPC) Engineers typically collaborate with client teams during projects?

Freelance HPC Engineers often work closely with client engineering, research, or IT teams to design, implement, and optimize computational solutions. Collaboration usually occurs through regular virtual meetings, code reviews, and progress updates to ensure alignment with project goals and technical requirements. Clear communication and documentation are essential, as freelancers may need to integrate their work into larger systems or hand off projects to in-house teams. Building strong relationships and understanding the client's workflow help ensure successful project delivery and can lead to ongoing opportunities.

What is a Freelance High Performance Computing Engineer?

A Freelance High Performance Computing (HPC) Engineer is a professional who specializes in designing, implementing, and optimizing computing systems that handle complex, large-scale computations. They work independently or on a contract basis for different organizations, helping to develop and maintain supercomputers, clusters, and parallel processing applications. Their expertise is often sought in fields like scientific research, finance, artificial intelligence, and engineering where processing large datasets quickly is essential. Freelancers in this field typically possess strong programming skills, knowledge of HPC architectures, and experience with performance tuning and troubleshooting.

What are the key skills and qualifications needed to thrive as a Freelance High Performance Computing Engineer, and why are they important?

To thrive as a Freelance High Performance Computing Engineer, you need expertise in parallel programming, cluster management, and a strong background in computer science or engineering. Familiarity with tools such as MPI, OpenMP, Linux environments, and cloud-based HPC platforms, along with certifications in cloud services or HPC technologies, is highly beneficial. Excellent problem-solving, project management, and communication skills set top freelancers apart when working with diverse clients. These competencies ensure the delivery of optimized, scalable solutions and effective collaboration in complex technical projects.

What is the difference between Freelance High Performance Computing Engineer vs Freelance Data Scientist?

AspectFreelance High Performance Computing EngineerFreelance Data Scientist
CredentialsAdvanced degrees in computer science, engineering, or related fields; knowledge of HPC systemsDegree in data science, statistics, or related fields; proficiency in programming and analytics
Work EnvironmentSpecialized computing clusters, research labs, or cloud HPC platformsData analysis environments, cloud platforms, and business analytics tools
Industry UsageResearch institutions, scientific computing, engineering simulations
Search & Comparison IntentFocus on high-performance computing tasks, technical skills

While both roles involve advanced technical skills, Freelance High Performance Computing Engineers specialize in optimizing and managing large-scale computing resources for scientific and engineering applications. Freelance Data Scientists focus on analyzing data to extract insights for business or research purposes. The key difference lies in their core focus: HPC engineers work with hardware and system performance, whereas data scientists work with data analysis and modeling.

What are the most commonly searched types of High Performance Computing Engineer jobs in Texas? The most popular types of High Performance Computing Engineer jobs in Texas are:
What are popular job titles related to Freelance High Performance Computing Engineer jobs in Texas? For Freelance High Performance Computing Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Freelance High Performance Computing Engineer jobs in Texas look for? The top searched job categories for Freelance High Performance Computing Engineer jobs in Texas are:
What cities in Texas are hiring for Freelance High Performance Computing Engineer jobs? Cities in Texas with the most Freelance High Performance Computing Engineer job openings:
Freelance High Performance Computing Engineer jobs near you
Infographic showing various Freelance High Performance Computing Engineer job openings in Texas as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Senior Software Engineer, CUTLASS Performance

Senior Software Engineer, CUTLASS Performance

Nvidia

Austin, TX • On-site

$121K - $160K/yr

Full-time

Posted 7 days ago

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 enthusiastic about performance and eager to help bridge the gap between current performance and what's theoretically possible, apply to join the CUTLASS team today!

What you'll be doing:

  • Benchmark the performance of state-of-the-art deep learning models' inference and training passes to identify key GPU kernel and fusion opportunities.

  • Identify gaps between theoretical and realized performance, and suggest software improvements or model adjustments to resolve them.

  • Develop tooling to automate the benchmarking, analysis, and performance optimization loop to push the limit of CUTLASS kernel performance within DL networks.

  • Be the authoritative resource on kernel performance in the team and engage with teams across NVIDIA including GPU architecture, DL frameworks, and QA as the performance representative for the CUTLASS team.

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 programming skills in Python and C++.

  • Experience in software performance analysis and optimization.

  • Deep understanding of computer architecture and familiarity with GPUs or similar parallel processing architectures.

Ways to stand out from the crowd:

  • Deep understanding of state-of-the art DL model architectures.

  • Hands-on experience with performance benchmarking of DL frameworks like PyTorch, JAX, SGLang, vLLM, TRT-LLM, or others.

  • Experience in developing performance models and performance regression systems.

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.
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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