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Cuda Programming Jobs in Grapevine, TX (NOW HIRING)

Caterpillar

Embedded Software Senior Engineer

Irving, TX · On-site

$112K - $169K/yr

Engineering Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're ... Integrate and optimize applications using the AI software ecosystem (e.g., CUDA, TensorRT ...

Intelliswift - An LTTS Company

Data Scientist

Plano, TX · On-site

$75 - $80/hr

As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior ... CUDA, Docker, KubeFlow, Kubernetes, etc a plus • Must possess qualities of being curious and ...

Good Sportsman Marketing LLC

Data Manager

Irving, TX · On-site

... Bite Baits, Cuda, HuntStand, and many more--we rely on data to help drive smarter decisions ... Collaborate with Engineering, Product Management, DevOps, Operations, and IT teams to support ...

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Cuda Programming information

See Grapevine, TX salary details

$25

$50

$75

How much do cuda programming jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for cuda programming in Grapevine, TX is $50.22, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $58.65 per hour, depending on experience, location, and employer.

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 analysis. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued by employers across technology, automotive, and research industries.

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.

What does a CUDA programmer do?

A CUDA programmer develops software that leverages NVIDIA's CUDA platform to perform parallel computing tasks on GPUs. They write and optimize code using languages like C++ and CUDA-specific libraries to accelerate applications in fields such as scientific computing, machine learning, and graphics processing.
What are popular job titles related to Cuda Programming jobs in Grapevine, TX? For Cuda Programming jobs in Grapevine, TX, the most frequently searched job titles are:
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Cuda Programming jobs near you
Infographic showing various Cuda Programming job openings in Grapevine, TX as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 14% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $104,454 per year, or $50.2 per hour.

Real Time Machine Learning (PaaS)

Ruri Software Technologies LLC

Irving, TX • On-site

$57.50 - $75/hr

Full-time

Re-posted 19 days ago

Job description

Job Title: Real Time Machine Learning (PaaS)
Location: Irving TX
Duration: 8+ months
Job Description:
  • Strong experience in Kubernetes and distributed computing for real time Al applications (CKAD, CKA certification preferred)
  • ⁠Experience with advanced ML, DL frameworks including TF,Pytorch,Ray
  • ⁠Hands on Experience with CUDA/NVIDIA ecosystem
  • ⁠Exposure to Real time monitoring frameworks including but not limited to Prometheus, Grafana, Open Telemetry (ML Democratization)
  • ⁠Strong experience working with Model Development, ML pipeline at scale with distributed computing technologies lik Pyspark, Ray
  • Ability to work on Distributed training pipelines and be aware of end to end CICD process for Al/ML workloads
  • Orchestrate the model scoring pipelines using Cloud Composer
    Deploy Auto-ML solutions in the production systems
  • ⁠Awareness and hands-on Data Lake, Big data ecosystems
  • ⁠Exposure to containers, cloud native solutioning

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