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Cuda Gpu Jobs (NOW HIRING)

Weekday AI

CUDA Engineering Expert

$80 - $100/hr

Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization * Use ... Apply CUDA, HIP, shader programming, or related kernel programming expertise to improve performance ...

Relace

Machine Learning Engineer

San Francisco, CA · On-site

The ideal candidate is excited by CUDA kernels, memory layouts, GPU scheduling, and squeezing performance out of complex training and inference workloads. They should be just as comfortable ...

Fuse Energy

AI Inference Engineer

We're building the GPU/CUDA performance layer and the inference serving layer at the same time, from scratch - and we're looking for the founding engineer to own the latter. We're looking for a ...

Bot Auto

GPU Engineer

Houston, TX · On-site

Develop and optimize parallel computing algorithms and GPU-accelerated components using technologies such as CUDA. * Collaborate with cross-functional teams to design and improve onboard GPU software ...

Bot Auto

GPU Engineer

Houston, TX · On-site

Develop and optimize parallel computing algorithms and GPU-accelerated components using technologies such as CUDA. * Collaborate with cross-functional teams to design and improve onboard GPU software ...

New

Nvidia

OR · On-site

You will work across PyTorch, CUDA, C++, and GPU profiling to optimize training and rendering workflows used in sophisticated 3D reconstruction systems. The ideal candidate enjoys working close to ...

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Cuda Gpu information

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$206K

How much do cuda gpu jobs pay per year?

As of Aug 9, 2026, the average yearly pay for cuda gpu in the United States is $200,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $205,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What is the difference between Cuda Gpu vs Data Scientist?

AspectCuda GpuData Scientist
Required CredentialsKnowledge of GPU programming, CUDA toolkit, C/C++Statistics, programming (Python, R), data analysis
Work EnvironmentTech companies, research labs, hardware developmentBusiness, tech, finance, healthcare sectors
Industry UsageHigh-performance computing, AI, machine learningData analysis, predictive modeling, data visualization

While Cuda Gpu specialists focus on GPU programming and hardware optimization, Data Scientists analyze data to extract insights. Both roles require technical skills but serve different purposes within technology and data-driven industries.

More about Cuda Gpu jobs
What cities are hiring for Cuda Gpu jobs? Cities with the most Cuda Gpu job openings:
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Cuda Gpu jobs near you
Infographic showing various Cuda Gpu job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $200,510 per year, or $96.4 per hour.

Senior Software Engineer, CUDA UMD - Graphs and GPU Sharing

NVIDIA Gruppe

Santa Clara, CA • On-site

$184 - $287.50/hr

Other

Posted 4 days ago

Job description

Job Overview

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We're looking to grow our company, and form teams with the smartest people in the world. Join us at the forefront of technological advancement.

Are you a motivated system software engineer with a deep understanding of device drivers and phenomenal C/C++ skills? If so, this role might be for you. We are looking for a seasoned software professional to work on the CUDA Driver, a core component of our platform for accelerating general purpose computation on the GPU. You will be an integral part of a team that 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, data science and self-driving cars to video games and virtual reality.

Key Responsibilities

As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world. You will craft elegant solutions to exciting problems and shape the future direction of CUDA as you collaborate with your peers across NVIDIA.

  • Evangelize, architect, and implement new features
  • Coordinate and drive development efforts across multiple teams
  • Help define forward-looking improvements to the CUDA APIs and programming model
  • Extend important CUDA programming models and functionality such as CUDA Graphs and MPS (Multi-Process Service)
  • Write effective, maintainable, and well-tested code
  • Develop code for multiple operating systems
Qualifications

What we need to see:

  • BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)
  • Strong C and C++ programming skills
  • Minimum of 8-10 years of related development experience
  • Experience driving projects across multiple teams
  • 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 as well as presentation skills
Standout Experience

Ways to stand out from the crowd:

  • Prior experience with parallel computing - preferably writing CUDA Programs or Libraries that use CUDA
  • 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 Linux Systems Software development
Compensation & Benefits

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.

Application Period

Applications for this job will be accepted at least until April 14, 2026.

Equal Opportunity Employer

NVIDIA is committed to fostering a diverse 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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