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Gpu Programming Jobs in Texas (NOW HIRING)

Bot Auto

GPU Engineer

Houston, TX · On-site

Preferred : * 3+ years of experience in GPU programming and optimization (e.g., CUDA, OpenCL, Vulkan). * Experience with NVIDIA Jetson Thor, NVIDIA DRIVE Thor , or similar embedded GPU platforms.

Bot Auto

GPU Engineer

Houston, TX · On-site

Preferred : * 3+ years of experience in GPU programming and optimization (e.g., CUDA, OpenCL, Vulkan). * Experience with NVIDIA Jetson Thor, NVIDIA DRIVE Thor , or similar embedded GPU platforms.

Nvidia

GPU Performance Profiling Engineer

Austin, TX · On-site

Strong programming ability in C, C++, and scripting languages. * Strong background in performance analysis tools and performance monitor hardware. * Experience in CUDA or GPU programming models.

Nvidia

Senior Compiler Engineer - Rust GPU

Austin, TX · On-site

$121K - $160K/yr

Deep expertise in the Rust programming language, including a strong grasp of compiler internals ... Solid understanding of parallel programming models, GPU architectures, and CUDA programming.

Apple

Graphics Software Engineer

Austin, TX · On-site

$138K - $171K/yr

Experience with GPU programming via OpenGL, Vulkan, Metal, DirectX, CUDA, or other APIs. Experience with continuous integration systems, automated build systems, and regression systems. Strong ...

Apple

Graphics Software Engineer

Austin, TX · On-site

$138K - $171K/yr

Experience with GPU programming via OpenGL, Vulkan, Metal, DirectX, CUDA, or other APIs. Experience with continuous integration systems, automated build systems, and regression systems. Strong ...

Apple

Graphics Software Engineer

Austin, TX

$138K - $171K/yr

Experience with GPU programming via OpenGL, Vulkan, Metal, DirectX, CUDA, or other APIs. Experience with continuous integration systems, automated build systems, and regression systems. Strong ...

Apple

Graphics Software Engineer

Austin, TX

$138K - $171K/yr

Experience with GPU programming via OpenGL, Vulkan, Metal, DirectX, CUDA, or other APIs. Experience with continuous integration systems, automated build systems, and regression systems. Strong ...

Apple

Graphics Software Engineer

Austin, TX

$138K - $171K/yr

Preferred Qualifications Experience with GPU programming via OpenGL, Vulkan, Metal, DirectX, CUDA, or other APIs. Experience with continuous integration systems, automated build systems, and ...

Apple, Inc.

Graphics Software Engineer

Austin, TX · On-site

$138K - $171K/yr

Preferred Qualifications Experience with GPU programming via OpenGL, Vulkan, Metal, DirectX, CUDA, or other APIs. Experience with continuous integration systems, automated build systems, and ...

Apple

Graphics Software Engineer

Austin, TX · On-site

$138K - $171K/yr

Preferred Qualifications Experience with GPU programming via OpenGL, Vulkan, Metal, DirectX, CUDA, or other APIs. Experience with continuous integration systems, automated build systems, and ...

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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 are popular job titles related to Gpu Programming jobs in Texas?

For Gpu Programming jobs in Texas, the most frequently searched job titles 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:

Gpu Programming jobs near you
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.

GPU Engineer

Bot Auto

Houston, TX • On-site

Full-time

Posted 10 days ago

Job description

Company Introduction
At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.
You would collaborate with software engineers, AI researchers, and hardware specialists to develop high-performance solutions that meet the stringent requirements of autonomous driving applications. This is an exciting opportunity to work on next-generation transportation technology and make a meaningful impact on the future of mobility.
Key Responsibilities
  • Optimize end-to-end GPU performance for real-time autonomous driving workloads, including sensor processing (e.g., camera, LiDAR) and neural network inference.
  • Develop and optimize parallel computing algorithms and GPU-accelerated components using technologies such as CUDA.
  • Collaborate with cross-functional teams to design and improve onboard GPU software architectures that meet the computational requirements of perception, planning, and control modules.
  • Profile and analyze bottlenecks across GPU computation, memory access, data movement, synchronization, and CPU-GPU interaction.
  • Debug and optimize GPU-based software to improve latency, throughput, resource utilization, and runtime stability on embedded platforms.
Qualifications:
Required:
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • Strong knowledge of parallel computing principles, GPU architecture, memory hierarchy, and performance optimization techniques.
  • Experience profiling GPU applications using tools such as NVIDIA Nsight Systems, Nsight Compute, or equivalent tools.
  • Experience deploying or optimizing neural network inference workloads using technologies such as PyTorch, ONNX, and TensorRT.
  • Experience with real-time embedded systems and handling large data streams from sensors (camera, LiDAR, radar).
  • Strong proficiency in C/C++ and Python.

Preferred:
  • 3+ years of experience in GPU programming and optimization (e.g., CUDA, OpenCL, Vulkan).
  • Experience with NVIDIA Jetson Thor, NVIDIA DRIVE Thor, or similar embedded GPU platforms.
  • Experience with model quantization, including FP8 and NVFP4.
  • Experience managing concurrent GPU workloads and resource isolation using technologies such as NVIDIA Multi-Process Service (MPS), Multi-Instance GPU (MIG), or other related technologies.
  • Experience with GPU-accelerated sensor data compression, including camera, LiDAR, or other onboard sensor data.

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