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Gpu Programming Jobs in Texas (NOW HIRING)

Apple

GPU Silicon Prototype Engineer

Austin, TX · On-site

$35.50 - $39.75/hr

Description As a Silicon Prototype Engineer in Apple's GPU Design Verification and Validation organization, you'll ensure our complex GPU designs and software meet Apple's quality standards through ...

Apple

GPU Silicon Prototype Engineer

Austin, TX · On-site

$35.50 - $39.75/hr

Description As a Silicon Prototype Engineer in Apple's GPU Design Verification and Validation organization, you'll ensure our complex GPU designs and software meet Apple's quality standards through ...

Apple

GPU Silicon Prototype Engineer

Austin, TX

$35.50 - $39.75/hr

Description As a Silicon Prototype Engineer in Apple's GPU Design Verification and Validation organization, you'll ensure our complex GPU designs and software meet Apple's quality standards through ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

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

Allen Control Systems

Software Engineer

Austin, TX · On-site

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

Qualcomm

GPU Design Engineer

Austin, TX · On-site

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 ...

Nvidia

Senior AI Frameworks Engineer

Austin, TX · On-site

$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.

Allen Control Systems

Software Engineer

Austin, TX · On-site

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

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Gpu Programming information

What is a GPU Programming job?

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 the Gpu Programming position, 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:
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Gpu Programming jobs near you
Infographic showing various Gpu Programming job openings in Texas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Hybrid job distribution.
GPU Silicon Prototype Engineer

GPU Silicon Prototype Engineer

Apple

Austin, TX • On-site

$35.50 - $39.75/hr

Full-time

Re-posted yesterday

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Do your life's best work here - with the whole world watching. At Apple, new ideas and complex challenges have a remarkable ability to transform into excellent products, services, and customer experiences in a relatively short period.
Join Apple's GPU team and contribute to the creation of graphics processing technology that powers millions of devices worldwide. As part of our growing team, you'll work on pre-silicon validation of innovative GPU microarchitectures, spanning from mobile devices to high-performance computers. Your role will involve exploring the intricate architectural details that drive exceptional graphics performance. Together, we'll empower our customers to enjoy all the features they love on their devices!
Description
As a Silicon Prototype Engineer in Apple's GPU Design Verification and Validation organization, you'll ensure our complex GPU designs and software meet Apple's quality standards through comprehensive hardware/software platform testing. Working with the complete software stack, you'll validate designs that enable flawless execution of demanding graphics workloads.
Your technical contributions will include:
- Developing verification environments using SystemVerilog, C++, and scripting languages to validate GPU functional behavior, performance, and power characteristics
- Running development graphics driver and test applications on development hardware systems, triaging failures to their respective teams
- Building automated systems for GPU model deployment and testing on hardware platforms
- Creating and driving detailed verification plans in collaboration with multi-functional teams
- Working closely with power and performance validation teams to optimize designs
- Leading debug efforts for issues discovered in both pre-silicon and post-silicon phases
This role offers significant growth opportunities as you advance within the team and take on increasing technical leadership responsibilities.
Minimum Qualifications
Bachelor's Degree in Electrical Engineering, Computer Engineering, or a related field
Coursework or experience in computer architecture
Coursework or experience in SystemVerilog and C/C++
Coursework or experience with scripting
Preferred Qualifications
Master's Degree in Electrical Engineering, Computer Engineering, or a related field
Experience scripting for system automation
Ability to collaborate under tight schedules
Excellent planning, collaboration, and communication abilities

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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