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Cuda Engineer Salary Jobs (NOW HIRING)

Nvidia

You will work across PyTorch, CUDA, C++, and GPU profiling to optimize training and rendering ... The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for ...

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Cuda Engineer Salary information

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How much do cuda engineer salary jobs pay per year?

As of Aug 7, 2026, the average yearly pay for cuda engineer salary in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Are CUDA engineers in demand?

CUDA engineers are in high demand due to the growing use of GPU computing in fields like artificial intelligence, machine learning, and high-performance computing. Skills in CUDA programming, parallel processing, and related tools are highly sought after by technology companies and research institutions. The role often requires strong programming skills and knowledge of GPU architectures.

What is the difference between Cuda Engineer Salary vs GPU Developer Salary?

AspectCuda Engineer SalaryGPU Developer Salary
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related fields; knowledge of CUDA, parallel programmingBachelor's or higher in Computer Science, Software Engineering, or related fields; experience with GPU programming
Work EnvironmentResearch labs, tech companies, AI firms, hardware manufacturersSoftware development companies, gaming industry, AI and machine learning firms
Industry UsagePrimarily in high-performance computing, AI, and scientific researchIn gaming, visualization, AI, and software optimization

Both roles require expertise in GPU programming and similar educational backgrounds. Cuda Engineers focus more on developing and optimizing CUDA-based applications, while GPU Developers work broadly on GPU-accelerated software. Salary differences depend on experience, location, and industry demand, but both roles are highly valued in tech sectors leveraging GPU technology.

What is the average salary of a CUDA engineer?

The average salary of a CUDA Engineer in the United States typically ranges from $110,000 to $160,000 per year, depending on experience, location, and industry. CUDA Engineers with specialized skills in GPU programming and parallel computing are often in high demand, particularly in sectors such as artificial intelligence, high-performance computing, and graphics. Salaries may be higher in tech hubs like Silicon Valley or for engineers with advanced degrees and significant experience.

What does a CUDA engineer do?

A CUDA engineer develops software that leverages NVIDIA's CUDA platform to perform parallel processing on GPUs, optimizing high-performance computing tasks such as scientific simulations, machine learning, and graphics rendering. They typically have skills in C/C++, GPU architecture, and debugging tools, working in environments that require knowledge of parallel algorithms and hardware acceleration.

What are the key skills and qualifications needed to thrive as a CUDA engineer?

To thrive as a CUDA Engineer, you need strong programming expertise in C/C++, parallel computing concepts, and a solid understanding of GPU architecture, typically supported by a degree in computer science or a related field. Experience with NVIDIA CUDA toolkit, GPU profiling tools, and parallel computing frameworks is essential, and certifications in CUDA development can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this field. These skills and qualities are crucial for developing efficient, high-performance applications and collaborating on complex technical projects.

What are some common challenges faced by CUDA engineers when collaborating with cross-functional teams?

CUDA engineers often work closely with software developers, data scientists, and hardware engineers to optimize code for GPU acceleration. A common challenge is effectively communicating complex GPU programming concepts to team members who may not have a background in parallel computing. Additionally, integrating CUDA code into broader projects can require careful coordination to ensure compatibility and performance across different platforms. Overcoming these challenges often involves clear documentation, regular team meetings, and a willingness to provide technical guidance to colleagues.
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Cuda Engineer Salary jobs near you
Infographic showing various Cuda Engineer Salary job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $107,282 per year, or $51.6 per hour.

Senior Software Engineer, CUDA Rust Core Libraries

Nvidia

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Posted 14 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

NVIDIA's accelerated computing platform is foundational to modern HPC and AI. At the center of this platform are CUDA Core Libraries that enable developers to build fast, reliable, and scalable GPU-accelerated software. We are hiring a Senior Software Engineer to develop the Rust experience for CUDA Core Libraries. You will design safe, idiomatic Rust APIs for GPU computing while integrating closely with native C/C++ components. You will join the team building the foundational libraries, algorithms, and language/runtime infrastructure that make CUDA a speed-of-light experience for developers and AI coding agents alike.

What you'll be doing:

  • Design and implement idiomatic Rust libraries and APIs for foundational CUDA functionality and GPU algorithms.

  • Build safe Rust abstractions over native CUDA and C/C++ interfaces.

  • Develop and maintain the C/C++ components required to support Rust-facing functionality.

  • Establish safe and efficient interoperability between Rust and C/C++, including interfaces that support downstream Python integration.

  • Optimize performance across Rust, native C/C++, and GPU execution boundaries.

  • Own features end-to-end: design, implementation, testing, profiling, benchmarking, documentation, packaging, release, and maintenance.

  • Improve the Rust developer experience through examples, diagnostics, build integration, compatibility testing, CI, and collaboration with C/C++, Python, compiler, and runtime engineers.

  • Work with users to investigate and resolve issues related to safety, correctness, usability, compatibility, and performance.

What we need to see:

  • BS, MS, or PhD in Computer Science, Computer Engineering, or related field, or equivalent experience.

  • 8+ years of relevant software development experience.

  • Strong production programming skills in Rust and C/C++, with deep understanding of Rust ownership, lifetimes, traits, generics, concurrency, and unsafe code.

  • Experience developing systems libraries, runtime components, and developer-facing APIs.

  • Practical knowledge of foreign-function interfaces and integrating Rust with C/C++ software.

  • Solid understanding of systems software concepts, including performance, concurrency, and API design.

  • Experience with parallel, heterogeneous, or GPU programming.

  • Experience contributing to production or open-source software, including testing, profiling, benchmarking, packaging, and code review.

  • Ability to work independently, define scope, and drive complex projects to completion.

  • Strong written communication skills and ability to work effectively in large, multi-language codebases (Rust, C/C++, build systems, toolchains, CI).

Ways to stand out from the crowd:

  • Strong understanding of CPU/GPU architecture and performance optimization, with hands-on experience in GPU-accelerated stacks (CUDA C++/Python, PyTorch, JAX, Numba, CuPy, or similar).

  • Proficiency with modern C++ and GPU libraries such as Thrust, CUB, and libcudacxx.

  • Experience with compiler infrastructure and tooling, including LLVM, Clang, or MLIR.

  • Experience designing safe Rust abstractions over low-level or asynchronous systems, including exposure to Python interoperability.

  • Demonstrated interest in developer tools, library design, and improving developer productivity

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 27, 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

Get the full story on Breakroom

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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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