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Cuda Kernel Engineer Jobs (NOW HIRING)

Nvidia

Senior Software Engineer - CUDA Driver

Santa Clara, CA · On-site

$143K - $189K/yr

NVIDIA is seeking outstanding senior engineers to work on the CUDA driver, a key component of ... Background with kernel mode development * Experience with Linux systems software development as ...

Baseten

Engineering

New York, NY · On-site

$260K - $380K/yr

THE ROLE We're looking for an Engineering Manager to lead our GPU Kernel Engineering team, the group responsible for writing the low-level CUDA code that makes Baseten's inference stack faster than ...

New

Erth.AI Inc.

Research Engineer

San Francisco, CA · On-site

$120K - $200K/yr

Experience with low-level optimizations, such as CUDA kernel programming, is highly regarded but not mandatory. * Strong problem-solving skills and the ability to collaborate effectively within a ...

Erth.AI Inc.

Research Engineer

San Francisco, CA · On-site

$120K - $200K/yr

Experience with low-level optimizations, such as CUDA kernel programming, is highly regarded but not mandatory. * Strong problem-solving skills and the ability to collaborate effectively within a ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of ... CUDA kernel development and model optimization (quantization, pruning, distillation). * Experience ...

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Cuda Kernel Engineer information

What are some 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 are Cuda Kernel Engineers?

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 are the key skills and qualifications needed to thrive as a CUDA Kernel Engineer, and why are they important?

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.
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Infographic showing various Cuda Kernel Engineer job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 94% Full Time, and 3% Part Time. Highlights an 82% In-person, and 18% Remote job distribution.
Senior Software Engineer - CUDA and Unified Memory

Senior Software Engineer - CUDA and Unified Memory

Nvidia

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 6 days ago

Job description

We are hiring software engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality!

CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, and the operating system. Unified Memory kernel driver provides kernel memory management that enables these advanced features.

What you'll be doing:

As a member of our team, you will apply your design, coding expertise, and creativity, and to collaborate with peers across NVIDIA to deliver upon the best compute platform in the world. You will craft sophisticated solutions to exciting problems shaping the future direction of CUDA!

  • Architect, and implement new features for new chips and new kernel features

  • Coordinate with other teams to accomplish your work daily

  • Help define forward-looking improvements to the CUDA APIs and programming model

  • Write effective, maintainable, and well-tested kernel and userspace code

  • Develop code for multiple Linux operating systems

What we need to see:

  • BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)

  • Strong C programming skills

  • Minimum of 10+ years of related development experience

  • Experience working with large codebases

  • Background with operating system interfaces for threads, process control, and virtual memory

  • Experience writing and debugging multithreaded programs

  • Good written communication

Ways to stand out from the crowd:

  • Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO

  • Knowledge of memory coherence and consistency models

  • Experience with kernel mode development

  • Experience with Windows, Linux, or macOS driver development

  • Some familiarity w C++

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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