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Cuda Programming Jobs in Indiana (NOW HIRING)

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Developer On-Ramp: Architecting the GTM strategy for our AI Developer Bundles (AppCO/SLES Desktop ... Ability to discuss CUDA cores, Kubernetes orchestration, and Model Context Protocols (MCP) with the ...

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Cuda Programming information

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$26

$51

$78

How much do cuda programming jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for cuda programming in Indiana is $51.72, according to ZipRecruiter salary data. Most workers in this role earn between $41.88 and $60.38 per hour, depending on experience, location, and employer.

What is the salary of NVIDIA CUDA developer?

The salary of an NVIDIA CUDA developer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Skilled CUDA programmers with advanced knowledge of parallel computing and GPU architecture tend to earn higher salaries.

What jobs use CUDA?

Jobs that use CUDA include roles such as GPU programmer, software developer, data scientist, and machine learning engineer, especially in fields like high-performance computing, artificial intelligence, and scientific research. These roles often require knowledge of parallel programming, C++, and GPU architecture, and involve developing or optimizing software to run efficiently on NVIDIA GPUs.

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing use of GPU 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 increase as these technologies expand across industries.

How much do CUDA engineers make?

CUDA engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in parallel programming and GPU optimization can command higher salaries, especially in tech hubs or companies with advanced AI and high-performance computing needs.

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 are popular job titles related to Cuda Programming jobs in Indiana? For Cuda Programming jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Cuda Programming jobs in Indiana look for? The top searched job categories for Cuda Programming jobs in Indiana are:
Cuda Programming jobs near you
Infographic showing various Cuda Programming job openings in Indiana as of July 2026, with employment types broken down into 10% As Needed, 50% Full Time, 5% Part Time, 19% Temporary, 14% Nights, and 2% Summer. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $107,584 per year, or $51.7 per hour.

Scientist, Systems Engineering (Detection Algorithm Development)

L3HHCM20

Fort Wayne, IN • On-site

Other

Re-posted 25 days ago

Job description

Job Title: Scientist, Systems Engineering (Detection Algorithm Development) 

Job Code:  38225

Job Location:  Fort Wayne, IN

Job Schedule: 9/80 (Every other Friday off)

 

Job Description:

The ideal candidate for this position has extensive knowledge of EO/IR image / video processing techniques that can be implemented in low size, weight, and power (SWaP) space systems. Candidate will provide direct contributions and act as a technical lead for algorithm development, analysis, integration into flight hardware, on-orbit troubleshooting, and future pursuits.

Algorithm performance plays a key role in all stages of program life cycle. Candidate needs to be comfortable working with end customers to understand requirements and capabilities define and run trade studies to meet customer requirements. Candidate will also work closely with other systems engineers to define CONOPs, ICDs, and implementation requirements.

Essential Functions:

  • Lead/support development of image and video processing algorithm solutions for space based EO/IR systems
  • Lead/support analysis of image and video processing algorithms in support of system level trade studies, requirement compliance and system characterization. Perform modeling & simulation activities to accurately model Earth observing EO/IR systems in LEO, MEO, and GEO.
  • Support systems engineering trade studies, CONOP development, and modeling/simulation efforts
  • Implement custom and OpenCV-based image/video processing algorithms in FPGAs, GPUs, or embedded systems
  • Perform rapid complex trade studies assessing a variety of algorithms to achieve optimal performance. Comfortable using tools such as NumPy, SciPy, scikit-learn, PyTorch, CV2, CUDA.
  • Familiar with Overhead Persistent InfraRed (OPIR) imagery and phenomenology
  • Develop and improve instrument documentation, processes, and test procedures
  • Support concept of operation development and requirements analysis, decomposition, and generation at various levels of the system
  • Support requirements traceability and development of test plans to cover requirements
  • Support integration and test of electro-optical/infrared systems and related hardware/software
  • Provide support to engineering in developing technical specifications, interface control documents, test plans and procedures, and test conformance to specifications
  • Ability to obtain and maintain a secret clearance

Qualifications:

  • Bachelor's Degree in engineering and minimum 12 years of prior relevant experience. Graduate Degree and a minimum of 10 years of prior related experience. In lieu of a degree, minimum of 16 years of prior related experience.
  • 5+ years experience in Python, C/C++, or VHDL
  • Professional experience implementing image/video processing algorithms in FPGAs, GPUs, or embedded systems


Preferred Additional Skills:

  • Strong background in mathematics or physics
  • Experience developing embedded software / firmware
  • Ability to read/write C/C++ software
  • Inter-personal and communication skills, ability to interact with a cross functional team
  • Ability to collaborate across all levels of leadership
  • Able to work with general direction or supervision in a demanding environment
  • Experience with data analysis and/or modeling and simulation (e.g. with MATLAB/Python)
  • Experience with estimating and managing costs
  • Experience architecting, analyzing, developing, and integrating end to end systems in areas such as EO/IR, RF, or space payload and spacecraft bus subsystems
  • Familiarity with program management, cost account management, integrated product teams

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