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Cuda Kernel Engineer Jobs in Texas (NOW HIRING)

We pioneernew approachesto model export,kernel development, and performance engineering so that ... GPU programming (CUDA) and familiarity with ML SW stack (e.g.,cuDNN,cuBLAS) * Experience with ML ...

Senior ML Compiler Engineer

Austin, TX

$103K - $142K/yr

We pioneernew approachesto model export,kernel development, and performance engineering so that ... GPU programming (CUDA) and familiarity with ML SW stack (e.g.,cuDNN,cuBLAS) * Experience with ML ...

Experience in Real Time OS / Linux kernel memory management, interrupts, IOMMU Preferred ... Prior experience GPU libraries like CUDA and ROCm is a plus * 9+ years of experience Physical ...

Senior Staff Engineer, Software

Austin, TX · On-site

$119K - $157K/yr

Experience in Real Time OS / Linux kernel memory management, interrupts, IOMMU * Proven ability to ... Prior experience GPU libraries like CUDA and ROCm is a plus * 12+ years of experience Physical ...

Senior Staff Engineer, Software

Richardson, TX · On-site

$111K - $146K/yr

Experience in Real Time OS / Linux kernel memory management, interrupts, IOMMU * Proven ability to ... Prior experience GPU libraries like CUDA and ROCm is a plus * 12+ years of experience Physical ...

Showing results 21-40

Cuda Kernel Engineer information

What are common challenges faced by CUDA Kernel Engineers when optimizing GPU code for performance?

Cuda Kernel Engineers often encounter challenges such as managing memory hierarchy efficiently, minimizing data transfer between host and device, and avoiding thread divergence. Ensuring optimal occupancy and maximizing parallelism while preventing bottlenecks like bank conflicts or uncoalesced memory access are also key concerns. Collaborating closely with software architects and data scientists is common, as solutions frequently require balancing algorithmic accuracy with hardware limitations. Addressing these challenges requires continuous profiling, testing, and iterative optimization.

What is a CUDA Kernel Engineer?

Cuda Kernel Engineers are specialized software developers who design, implement, and optimize parallel computing algorithms using NVIDIA's CUDA platform. They write 'kernels,' which are functions that run on Graphics Processing Units (GPUs) to accelerate computational tasks in areas such as machine learning, scientific simulations, and graphics rendering. These engineers need strong skills in C/C++ programming, GPU architecture, and performance optimization techniques. Their work is crucial for applications that require high-speed data processing and efficient resource utilization.

What skills and qualifications are needed to be a CUDA Kernel Engineer?

To thrive as a CUDA Kernel Engineer, you need strong proficiency in C/C++ programming, parallel computing concepts, and a solid foundation in GPU architectures, typically supported by a degree in computer science or a related field. Expertise in NVIDIA CUDA toolkits, GPU profiling tools like Nsight, and familiarity with version control systems are essential. Analytical thinking, problem-solving abilities, and effective collaboration skills help engineers optimize code and work well within development teams. These skills and qualities are crucial for delivering high-performance, scalable GPU solutions in computationally intensive applications.
What job categories do people searching Cuda Kernel Engineer jobs in Texas look for? The top searched job categories for Cuda Kernel Engineer jobs in Texas are:
What cities in Texas are hiring for Cuda Kernel Engineer jobs? Cities in Texas with the most Cuda Kernel Engineer job openings:
Infographic showing various Cuda Kernel Engineer job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Silicon Validation Software Engineer- GPU IP Validation and Integration

Apple

Austin, TX • On-site

Full-time

Re-posted 17 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Together, you and your team will enable our customers to do all the things they love with their devices!
Join a team of expert software engineers with diverse backgrounds (graphics, video encoding, video processing, file systems, CPUs and caching, kernel programming, embedded systems) to develop graphics validation software and integrate it into system level test environment.
Description
You will be writing shaders that stress the GPU and cause high bandwidth traffic to and from the memory subsystem.
You will apply your deep understanding of GPU architecture to write tests that stress the pipeline and exercise the interaction between the GPU and different IP blocks on the SoC.
You will use the necessary driver and firmware APIs to compile shaders and prime operations to move data around in the SoC using the GPU threads/SIMD groups.
You will understand the different levels of GPU memory hierarchy (Shared, Global, etc.)
You will debug SoC software and hardware issues, and perform system level validation.
Minimum Qualifications
A minimum of a bachelor's degree in relevant field and a minimum of 10 years of relevant industry experience in silicon validation software engineering or related field
Preferred Qualifications
Experienced with Graphics, OpenGL, and CUDA
Understanding of the GPU pipeline and graphics theory
Understanding of system and SoC architectures
Experienced with image processing, memory hierarchies, and compilers
Strong C/C++ programming skills
Implement and run ML/LLM workloads for GPU characterization
Proficient in Python and GNU Make
Deep understanding of compute systems, operating systems, and computer architecture
Passionate about writing code close to the hardware, and debugging.
In-depth knowledge and experience in SoC system level validation and debugging of SoC software and hardware issues.
You enjoy the validation mentality: meticulous, curious, and persistent.

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