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Entry Level Cuda Jobs (NOW HIRING)

PZI International

Software Engineer

Huntsville, AL · On-site

Position Summary Polaris Sensor Technologies, Inc. is seeking an entry-level Software Engineer to ... Image processing (OpenCV, CUDA) * FPGA programming * Systems integration or tracking applications

XPENG

AI Intern - VLA Deployment

Santa Clara, CA

We are looking for an entry-level engineer or intern to support the optimization and deployment of ... Experience with CUDA or GPU programming. * Exposure to autonomous driving, robotics, or real-time ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

We are looking for an entry-level engineer or intern to support the optimization and deployment of ... Experience with CUDA or GPU programming. * Exposure to autonomous driving, robotics, or real-time ...

Viridien

Research Geophysicist

Houston, TX · Hybrid

Excellent coding skills with one or more programming languages, such as C/C++, CUDA, FORTRAN ... Performance based monthly bonus averaging at 10-15% at entry level ( contingent on financial ...

Cgg

Research Geophysicist

Houston, TX · Hybrid

Excellent coding skills with one or more programming languages, such as C/C++, CUDA, FORTRAN ... Performance based monthly bonus averaging at 10-15% at entry level ( contingent on financial ...

Viridien

Research Geophysicist

Houston, TX · Hybrid

Excellent coding skills with one or more programming languages, such as C/C++, CUDA, FORTRAN ... Performance based monthly bonus averaging at 10-15% at entry level ( contingent on financial ...

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Entry Level Cuda information

What are the key skills and qualifications needed to thrive as an Entry Level CUDA Developer, and why are they important?

To thrive as an Entry Level CUDA Developer, you need a solid understanding of parallel programming, C/C++ programming skills, and a degree in computer science or a related field. Familiarity with NVIDIA CUDA Toolkit, GPU architectures, and version control systems like Git is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and troubleshoot efficiently. These competencies are crucial for developing high-performance GPU-accelerated applications and contributing to team success in computational projects.

What are some common challenges faced by entry-level CUDA developers when starting in this role?

Entry-level CUDA developers often encounter challenges such as understanding parallel programming concepts and efficiently optimizing code for GPU architectures. Adjusting to the differences between CPU and GPU processing, especially in terms of memory management and thread synchronization, can be a steep learning curve. Collaboration with more experienced developers and regularly reviewing code can help newcomers overcome these hurdles and accelerate their mastery of CUDA development.

What are entry-level CUDA jobs?

Entry-level CUDA jobs are positions designed for individuals who are new to working with CUDA, NVIDIA’s parallel computing platform and programming model. These roles typically involve assisting in developing, optimizing, and debugging GPU-accelerated applications using languages such as C or C++. Candidates are expected to have a basic understanding of parallel programming concepts and the fundamentals of GPU architectures. Entry-level CUDA professionals often work under the guidance of senior developers to contribute to projects in fields like machine learning, scientific computing, or computer graphics.

What is the difference between Entry Level Cuda vs Entry Level Data Analyst?

AspectEntry Level CudaEntry Level Data Analyst
Required CredentialsCUDA programming knowledge, basic understanding of GPU computingBasic statistics, Excel, SQL, possibly some programming (Python, R)
Work EnvironmentTech companies, research labs, industries utilizing GPU accelerationBusiness, finance, marketing, tech firms analyzing data
Industry UsageHigh in AI, machine learning, scientific computingBroad across various sectors for data-driven decision making
Common Search/ComparisonYesYes

Entry Level Cuda roles focus on GPU programming and parallel computing, often in tech and research environments. Entry Level Data Analyst positions involve data interpretation, reporting, and basic analytics skills across multiple industries. While both are entry-level, Cuda roles require technical GPU knowledge, whereas Data Analyst roles emphasize data handling and visualization skills.

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Entry Level Cuda jobs near you
Infographic showing various Entry Level Cuda job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

Software Engineer - Software Engineer - GPU, C++, OpenCL, CUDA

Hudson Manpower

Waukesha, WI • On-site

Contractor

Posted 3 hours ago

Job description

Position: Software Engineer - GPU, C++, OpenCL, CUDA
Location: Waukesha, WI (Onsite)
Exp: 5 - 9 yrs
Key Skills: GPU, C++, OpenCL, CUDA, OneAPI, Matlab
Only USC / GC
Job Requirements
The CT Program is working on upgrading CT scanners used worldwide. The center is currently concentrating on the ongoing enhancement of the next generation of CT machines, including their essential workflows and applications. For that purpose, proficient and experienced resources are required.
Primary Objective:
  1. Leverage proprietary software platform to implement image processing algorithms on GPUs. (C++/OpenCL/CUDA/OneAPI)
  2. Improve image chain performance using heterogeneous high-performance computing (HPC) to meet customer expectations
  3. Ensure quality and compliance of productized code per regulatory expectations

Detailed Requirements:
  1. Productized CT image processing algorithms on GPU, including ported algorithms from Matlab to GPU, or OpenCL to CUDA
  2. Improved image chain & algorithm performance compared to initial benchmarks
  3. Perform GPU profiling, identify algorithm bottlenecks, troubleshoot and resolve performance issues
  4. Improve GPU utilization leveraging heterogenous HPC knowledge.
  5. Perform testing, reliability analysis, performance benchmarks and document results
  6. Execute test procedures with high quality and rigor, following Good Documentation Practices

Work Experience
Skills:
  1. Programming Languages: C++, OpenCL, CUDA, OneAPI
  2. Image Processing Algorithms: Implementation and optimization on GPUs
  3. High-Performance Computing (HPC): Knowledge of heterogeneous HPC
  4. Profiling and Performance Analysis: GPU profiling, identifying bottlenecks, troubleshooting, and resolving performance issues
  5. Testing and Documentation: Performing testing, reliability analysis, performance benchmarks, and documenting results following Good Documentation Practices

Additional Experience:
Productizing Algorithms: Experience in productizing CT image processing algorithms on GPU
Porting Algorithms: Experience in porting algorithms from Matlab to GPU or OpenCL to CUDA
Improving Performance: Proven track record of improving image chain and algorithm performance compared to initial benchmarks
Quality and Compliance: Ensuring quality and compliance of productized code per regulatory expectations
Best regards,
Prasad Kalsekar | Hudson Manpower
Email: prasad@hudsonmanpower.com

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