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Cuda Programming Jobs in Missouri (NOW HIRING)

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$70 - $100/hr

Strong expertise in areas such as CUDA or Triton programming, parallel computing, and hardware-level GPU performance optimization. * Strong analytical and problem-solving skills, with the ability to ...

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How much do cuda programming jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for cuda programming in Missouri is $50.99, according to ZipRecruiter salary data. Most workers in this role earn between $41.25 and $59.52 per hour, depending on experience, location, and employer.

What is the difference between Cuda Programming vs GPU Developer?

AspectCuda ProgrammingGPU Developer
Required CredentialsKnowledge of CUDA, C/C++, parallel computingKnowledge of GPU architecture, CUDA, OpenCL, C/C++
Work EnvironmentHigh-performance computing, scientific research, AIGraphics, gaming, scientific visualization, AI
Industry UsageTech companies, research labs, AI firmsGaming, entertainment, tech, research

While Cuda Programming focuses specifically on writing code using NVIDIA's CUDA platform for parallel processing, GPU Developers have a broader role that includes designing, optimizing, and implementing GPU-based solutions across various platforms and technologies. Both roles require knowledge of GPU architecture and programming languages like C/C++, but GPU Developers often work on a wider range of applications beyond CUDA-specific projects.

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing need for high-performance computing in fields like artificial intelligence, scientific research, and data processing. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued, and job opportunities are expected to grow as industries adopt GPU acceleration for complex tasks.

What does a CUDA programming developer do?

A CUDA programming developer writes software that leverages NVIDIA's CUDA platform to perform parallel processing on GPUs, optimizing computational tasks such as scientific simulations, machine learning, and image processing. They typically work with C++ and CUDA-specific libraries, debugging and optimizing code for high performance in environments that require intensive data processing.

What are popular job titles related to Cuda Programming jobs in Missouri?

For Cuda Programming jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Cuda Programming jobs in Missouri look for?

The top searched job categories for Cuda Programming jobs in Missouri are:

What cities in Missouri are hiring for Cuda Programming jobs?

Cities in Missouri with the most Cuda Programming job openings:

Cuda Programming jobs near you
Infographic showing various Cuda Programming job openings in Missouri as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $106,051 per year, or $51 per hour.

37303 HD - CUDA Engineering Expert

California, MO • On-site

Cephas Consultancy Services Private Limited
See more jobs at Cephas Consultancy Services Private Limitedexternal

$183K/yr

Other

Posted 26 days ago

Job description

37303 HD - CUDA Engineering Expert

Cephas Consultancy Services Private Limited Permanent Remote Work, California, United States

About this position

Positions:50 Contract
Experience
5 - 30 Years
Role Type:Contractor
Location:Remote

We are engaging CUDA Engineering Experts to contribute to a cutting-edge customer project focused on GPU kernel optimization in collaboration with a leading AI lab. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters.

Scope of Work

Analyze, profile, and optimize GPU kernels using CUDA and relevant profiling tools to maximize computational throughput on modern hardware. Collaborate with project stakeholders to assess and identify kernel bottlenecks, proposing targeted optimization strategies. Refactor C++ and CUDA codebases for improved maintainability, efficiency, and adaptability across diverse GPU architectures. Implement shader logic and graphics workflows using GLSL and WebGPU, ensuring seamless integration with existing pipelines. Document key findings, optimization steps, and performance improvements with clear, actionable reports and technical communication. Contribute expertise to design discussions, supporting the evaluation of new GPU-based approaches and performance metrics. Stay informed on advancements in GPU programming and share relevant insights to enhance project outcomes.

Preferred Qualifications

Demonstrated expertise in CUDA programming, with a strong track record of performance-tuning GPU kernels. Advanced C++ development skills, particularly in high-performance computing environments. Hands-on experience with GLSL and WebGPU for graphics and compute shader development. Proficiency using GPU profilers (such as Nsight, Visual Profiler, or similar tools) for guided optimization. Strong analytical abilities to evaluate and reason about kernel performance across hardware generations. Excellent written and verbal communication skills—clear documentation and technical reporting are essential. Experience collaborating in remote, cross-disciplinary project settings is a plus.

Skills

Skills: CUDA, C++, GLSL, WebGPU

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