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Remote Cuda Developer Jobs in Arizona (NOW HIRING)

Remote Rate: $130K per annum Job Responsibilities Develop and optimize features in a modern, low ... CUDA, and TensorRT, or with Python interop such as pybind11 Experience submitting code alongside ...

Remote Cuda Developer information

How does a Remote CUDA Developer typically collaborate with team members across different locations?

As a Remote CUDA Developer, you will frequently collaborate with cross-functional teams such as data scientists, software engineers, and product managers through virtual meetings, code reviews, and collaborative platforms like GitHub or GitLab. Clear communication and thorough documentation are essential since team members may be in different time zones. You can expect to participate in regular stand-ups, sprint planning, and peer programming sessions, ensuring alignment and smooth integration of your GPU-accelerated code into larger projects. Tools like Slack, Zoom, and project management platforms help maintain connectivity and workflow efficiency.

What is a Remote CUDA Developer?

A Remote CUDA Developer is a software engineer who specializes in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to develop parallel computing applications, often for high-performance tasks like machine learning, scientific computing, or data analysis. They work remotely, collaborating with teams online rather than being physically present in an office. These developers write and optimize code to run efficiently on NVIDIA GPUs, enabling applications to process large amounts of data much faster than traditional CPU-only solutions.

What are the key skills and qualifications needed to thrive as a Remote CUDA Developer, and why are they important?

To thrive as a Remote CUDA Developer, you need strong proficiency in C/C++ programming, parallel computing concepts, and a solid understanding of GPU architecture, typically backed by a degree in computer science or a related field. Experience with NVIDIA CUDA toolkit, GPU debugging tools, and version control systems like Git is commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication abilities help distinguish high performers in this role. These skills are vital for efficiently delivering high-performance computing solutions and collaborating seamlessly with distributed teams.

What is the difference between Remote Cuda Developer vs Remote Machine Learning Engineer?

AspectRemote Cuda DeveloperRemote Machine Learning Engineer
Required CredentialsCUDA programming certifications, computer science degreeMachine learning certifications, data science background
Work EnvironmentSoftware development, GPU optimizationModel development, data analysis
Industry UsageHigh-performance computing, gaming, AIAI, data science, predictive modeling

Remote Cuda Developers focus on GPU programming and optimization using CUDA, primarily in high-performance computing and AI applications. Remote Machine Learning Engineers develop and deploy machine learning models, often utilizing GPU resources but with a broader focus on data and algorithms. While both roles may involve GPU expertise, Cuda Developers specialize in low-level programming, whereas Machine Learning Engineers work on model development and deployment.

What are popular job titles related to Remote Cuda Developer jobs in Arizona? For Remote Cuda Developer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Cuda Developer jobs in Arizona look for? The top searched job categories for Remote Cuda Developer jobs in Arizona are:
What cities in Arizona are hiring for Remote Cuda Developer jobs? Cities in Arizona with the most Remote Cuda Developer job openings:
Infographic showing various Remote Cuda Developer job openings in Arizona as of June 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution.

Senior Graphics Engineer

H R PUNDITS INC

Phoenix, AZ • Remote

$130K/yr

Full-time

Posted 8 days ago


Job description

Job Title: Senior Graphics Engineer (Software Engineer V)
Location: Remote
Rate: $130K per annum
Job Responsibilities
Develop and optimize features in a modern, low-level Vulkan rendering engine Profile and improve GPU and CPU performance across the rendering pipeline, including multi-GPU real-time rendering and multithreaded XR rendering Implement and improve advanced rendering techniques such as deferred shading, ray tracing, and HDR Push the limits of display quality, including high refresh-rate rendering, with color-accurate and HDR display Integrate the engine with research and adjacent systems from across the lab and company Investigate, triage, and fix bugs across the rendering stack and the experiences built with it Contribute to tooling, build health, and cross-platform support across Linux, Windows, and Mac Write documentation and help prepare components for potential external release
Required Skills
Strong programming skills in C++
Substantial, hands-on experience with modern Vulkan development Experience with desktop graphics development Solid grasp of real-time rendering fundamentals, including the graphics pipeline, shading models, and GPU architecture Experience profiling and optimizing graphics performance on both GPU and CPU Experience with version control systems such as Git or Mercurial Excellent communication skills and strong attention to detail
Preferred Skills
Game engine development experience
Experience with neural rendering, radiance fields, or Gaussian splatting Experience with advanced rendering techniques such as ray tracing, deferred shading, or HDR Experience working with modern AI tooling (strongly preferred) Cross-platform development experience across Linux, Windows, and Mac (strongly preferred) Experience with desktop VR development using OpenXR (strongly preferred) Experience with additional graphics APIs such as OpenGL, D3D12, or Metal, or with mobile graphics development, particularly Android Experience integrating third-party graphics SDKs such as DLSS or other upscaling technologies Experience developing netcode for real-time or networked applications Experience with PyTorch, CUDA, and TensorRT, or with Python interop such as pybind11 Experience submitting code alongside academic publications at conferences such as CVPR or SIGGRAPH Experience open-sourcing new or maintaining existing open source projects, or with build systems such as CMake, Bazel, or Buck
Education/Experience
Bachelor's or Master's degree in computer science, software engineering, or related technical fields, or equivalent practical experience

This is a remote position.