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Gpu Programming Jobs in Texas (NOW HIRING)

Preferred : • Experience with GPU programming (CUDA, OpenCL) or parallel computing. • Knowledge of networking protocols and distributed systems. • Exposure to machine learning frameworks ...

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: We are seeking an accomplished Principal- or Director-level technical leader to lead a high-performance RTL Design and ...

Senior AI Frameworks Engineer

Austin, TX

$121K - $160K/yr

As a core contributor to the CUTLASS project, you will use your expertise in systems programming and API design to create a world-class developer experience for GPU programming and kernel delivery.

Showing results 41-60

Gpu Programming information

What is GPU programming?

A GPU Programming job involves writing and optimizing code to run on Graphics Processing Units (GPUs) for parallel computing tasks. This role is commonly found in fields like machine learning, scientific computing, gaming, and data analytics. GPU programmers use languages such as CUDA, OpenCL, or Vulkan to accelerate computations and improve performance. They work closely with software engineers and data scientists to optimize algorithms for high-performance applications.

What are the key skills and qualifications needed to thrive in GPU programming, and why are they important?

To excel in GPU Programming, you need a strong background in parallel computing concepts, mathematics, and proficiency in languages such as CUDA, OpenCL, or DirectX/OpenGL, often supported by a degree in computer science, engineering, or a related field. Familiarity with NVIDIA and AMD GPU development tools, performance profilers, and possibly certifications like NVIDIA's Deep Learning Institute courses are valuable. Teamwork, effective communication, and strong problem-solving abilities are essential soft skills in this field. These competencies enable efficient development, optimization, and integration of high-performance GPU code in real-world applications.

What types of projects or applications do GPU programmers commonly work on?

GPU Programmers are often involved in developing or optimizing software for high-performance applications such as machine learning, scientific simulations, real-time rendering in gaming and visualization, and video/image processing tools. Their daily work may include collaborating with software engineers, data scientists, and hardware teams to create efficient, scalable parallel algorithms that leverage GPU capabilities. The role frequently requires problem-solving to maximize computational efficiency and troubleshooting complex performance bottlenecks. By working across multidisciplinary teams, GPU Programmers help deliver robust solutions for data-intensive problems in areas like healthcare, finance, automotive technology, and entertainment.

What are the most commonly searched types of Gpu Programming jobs in Texas?

The most popular types of Gpu Programming jobs in Texas are:

What job categories do people searching Gpu Programming jobs in Texas look for?

The top searched job categories for Gpu Programming jobs in Texas are:

What cities in Texas are hiring for Gpu Programming jobs?

Cities in Texas with the most Gpu Programming job openings:

Infographic showing various Gpu Programming job openings in Texas as of August 2026, with employment types broken down into 4% Internship, 88% Full Time, and 8% Contract. Highlights an 84% In-person, and 16% Remote job distribution.

Full-time

Re-posted 7 days ago


Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup developing autonomous gun turret technology. They are seeking a highly skilled software engineer proficient in C++ or Python to design, develop, and maintain high-performance software applications while collaborating with cross-functional teams.
Responsibilities:
• Design, develop, and maintain high-performance software applications using C++.
• Optimize and enhance existing software for efficiency, scalability, and reliability.
• Collaborate with cross-functional teams, including mechanical, electrical, computer vision, and software engineers.
• Implement best practices in software engineering, including code reviews, unit testing, and documentation.
• Debug, troubleshoot, and resolve software defects and performance issues.
• Work with modern development tools, version control systems (Git), and CI/CD pipelines.
• Develop algorithms and data structures to solve complex computational problems.
• Ensure security and compliance standards are met in software development.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Strong proficiency in C++ (C++11/14/17/20) and Python.
• Experience with multi-threading, concurrency, and performance optimization.
• Familiarity with software development methodologies and design patterns.
• Knowledge of system programming, memory management, and debugging tools.
• Experience with version control systems (Git) and agile development practices.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Professional experience in software development preferred.
Preferred:
• Experience with GPU programming (CUDA, OpenCL) or parallel computing.
• Knowledge of networking protocols and distributed systems.
• Exposure to machine learning frameworks (TensorFlow, PyTorch) or scientific computing.
• Experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines)
Company:
Allen Control Systems develops autonomous defense technologies designed to detect, track, and counter unmanned aerial threats. Founded in 2022, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.