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Professional Cuda Jobs (NOW HIRING)

Micron

Systems Software Engineer, (Linux, CUDA)

Richardson, TX · On-site

$157K - $186K/yr

Experience with GPU programming and runtimes (e.g., CUDA, SYCL, OpenCL, PyTorch) and familiarity ... professional growth. Micron benefits are designed to help you stay well, provide peace of mind and ...

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Professional Cuda information

What is the difference between Professional Cuda vs Cuda Developer?

AspectProfessional CudaCuda Developer
Required CredentialsTypically requires a degree in Computer Science or related field, with certifications in CUDA programmingOften requires similar degrees and certifications, focusing on CUDA expertise
Work EnvironmentWorks in research labs, tech companies, or industries utilizing GPU computingWorks in software development teams, research, or hardware optimization projects
Industry UsageUsed across high-performance computing, AI, and scientific research sectorsCommonly employed in software development, gaming, and simulation industries

Both roles involve CUDA programming, but a Professional Cuda typically emphasizes advanced GPU computing skills in research or industry applications, while a Cuda Developer focuses on software development and optimization using CUDA technology. The roles often overlap, but the Professional Cuda may have a broader scope in high-performance computing projects.

Is professional Cuda in high demand?

Professional CUDA developers are in high demand due to the increasing use of GPU computing in fields like artificial intelligence, data science, and high-performance computing. Skills in parallel programming, CUDA toolkit, and GPU architecture are highly valued by employers across various industries.
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Professional Cuda jobs near you
Infographic showing various Professional Cuda job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Senior Software Engineer, CUDA UMD - Graphs and GPU Sharing

NVIDIA Gruppe

Santa Clara, CA • On-site

$184 - $287.50/hr

Other

Posted 15 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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