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Cuda Kernel Engineer Jobs in Austin, TX (NOW HIRING)

CYNET SYSTEMS

Software Development Engineer 1

Austin, TX · On-site

$56 - $60/hr

Working knowledge of device driver development in OpenCL/CUDA, OpenGL, DirectX, or D3D ... Familiarity with Linux GPU kernel driver development. * Solid understanding of Software Engineering ...

Celestica

Staff Embedded/Firmware Engineer 1

Austin, TX · On-site

$100K - $137K/yr

... Kernel, etc. • 5+ years of experience in Hardware bring-up, validation of all low-level ... like CUDA and ROCm is a plus Physical Demands * Duties of this position are performed in a normal ...

Allen Control Systems

Platform Engineer

Austin, TX · On-site

... including CUDA, device plugins, GPU scheduling in Kubernetes, and KubeFlow or similar ML ... kernel tuning, and security hardening for production environments. Company : Allen Control Systems ...

Allen Control Systems

Platform Engineer

Austin, TX · On-site

... including CUDA, device plugins, GPU scheduling in Kubernetes, and KubeFlow or similar ML ... kernel tuning, and security hardening for production environments. Company : Allen Control Systems ...

Allen Control Systems

Platform Engineer

Austin, TX · On-site

... including CUDA, device plugins, GPU scheduling in Kubernetes, and KubeFlow or similar ML ... kernel tuning, and security hardening for production environments Company : Allen Control Systems ...

Nvidia

Senior Solution Engineer, Compute Systems

Austin, TX · On-site

$54.75 - $70.50/hr

... kernel, drivers * Proficient in Python programming with the ability to build custom tools Ways to stand out from the crowd: * Background with parallel programming or GPU acceleration (e.g., CUDA)

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Cuda Kernel Engineer information

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 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.

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Cities near Austin, TX with the most Cuda Kernel Engineer job openings:

Cuda Kernel Engineer jobs near you
Infographic showing various Cuda Kernel Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Nights. Highlights an 62% In-person, and 38% Remote job distribution.

Silicon Validation Software Engineer- GPU IP Validation and Integration

Apple

Austin, TX • On-site

$175K - $308K/yr

Full-time

Medical, Dental, Retirement

Re-posted 21 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th 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.
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.
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
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

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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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