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Cuda Kernel Engineer Jobs (NOW HIRING)

Neura Market

$165 - $242/hr

HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand) * Kernel-Hardware Enablement - Support new ... Strong C programming skills with the ability to write maintainable and upstream-quality code.

New

Nvidia

Senior Software Engineer - TensorRT Edge-LLM

Austin, TX · Hybrid

$121K - $160K/yr

Contribute to CUDA kernel and operator development for critical transformer components such as ... Proficient programming ability with modern C++ (C++11/14/17 and beyond). * Familiarity with popular ...

Prosum Inc.

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

Sr. Machine Learning Engineer Salary Range: $130k to $150k Our client is seeking a Sr. Machine ... Responsibilities include eliminating hardware bottlenecks through CUDA kernel tuning and GPU ...

Baseten

Software Engineer - GPU Kernels

... GPU Kernel Engineer to enhance AI model performance. This role focuses on designing high ... CUDA C++ API, Memory access patterns and bandwidth optimization, Numerical precision and ...

Baseten

Software Engineer - GPU Kernels

New York, NY · On-site

$180K - $360K/yr

THE ROLE We're seeking a GPU Kernel Engineer to join our team at the cutting edge of AI ... Write and optimize code using CUDA, PTX assembly, and architecture-specific techniques * Apply ...

YO AI Labs

CUDA Software Engineer - Remote

New York, NY · Remote

$60 - $100/hr

Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development skills. * Hands-on experience with GLSL and WebGPU . * Experience using GPU profiling tools such as ...

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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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Infographic showing various Cuda Kernel Engineer job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 60% In-person, and 40% Remote job distribution.

Senior System Software Engineer - CUDA Chips

Nvidia Corporation

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 25 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

We are hiring senior 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 across deep learning, scientific computation, and self-driving cars, video games and virtual reality.
CUDA helps define a unified programming model across a range of system configurations and hardware capabilities accomplished through CUDA driver interaction with GPU hardware, kernel mode drivers, and the operating system. This role incorporates strong system software programming skills, a detailed understanding of operating systems and kernel programming, hardware architecture, as well as excellent communication and planning skills. You will work closely with both hardware engineers and other software engineers to craft, develop, debug and deploy many functional aspects of NVIDIA hardware and mobile system-on-chip (SOC) devices!
What you'll be doing:
You can expect be heavily involved through all aspects of development of our world-class products, ranging up front from design feedback, early modeling, simulation of hardware in pre-silicon environments, all the way through to early silicon bringup and final feature deployment in production software ultimately delivered to end users. You should be eager to learn about, and contribute to, the design of new compute and graphics drivers and new GPU architectures!
In this role, you will:
  • Develop Software on Pre-Si environments(Simulation/Emulation)
  • Own and drive CUDA enablement for new Silicon and Architecture
  • Work with SW, HW and relevant teams to develop, stabilize and productize CUDA features for new chips and systems
  • Promote, architect, and implement new features, as well as own contribution to bring up of CUDA on new chips
  • Help define forward-looking improvements to the CUDA APIs and programming model, while driving development efforts across multiple teams
  • Write effective, maintainable, and well-tested code
  • Developing code for multiple operating systems

What we need to see:
  • BS or MS degree in Computer Engineering, Computer Science, Electrical Engineering or equivalent experience
  • 5+ years of relevant systems software development experience
  • Strong C programming skills, knowledge of parallel programming
  • Excellent knowledge of computer system architectures
  • Experience with operating system interfaces for threads, process control, and virtual memory
  • Experience writing and debugging multithreaded programs
  • Background with working with large codebases
  • Deep understanding of technology and passionate about what you do
  • Good written communication as well as strong collaborative skills and ability to effectively guide and influence across groups

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
  • Background with kernel mode development
  • Experience with Windows, Linux, or macOS driver development
  • Some familiarity with C++, CUDA experience

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 10, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

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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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