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Cuda Programming Jobs in Pennsylvania (NOW HIRING)

Responsibilities : • Design, implement, and optimize parallel programming methods within Ansys Mechanical solver products using MPI, GPU programming models like CUDA, HIP, SYCL, OpenMP, and other ...

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Cuda Programming information

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$27

$54

$82

How much do cuda programming jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for cuda programming in Pennsylvania is $54.49, according to ZipRecruiter salary data. Most workers in this role earn between $44.09 and $63.61 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 cities in Pennsylvania are hiring for Cuda Programming jobs? Cities in Pennsylvania with the most Cuda Programming job openings:
Infographic showing various Cuda Programming job openings in Pennsylvania as of July 2026, with employment types broken down into 10% As Needed, 44% Full Time, 7% Part Time, 21% Temporary, 16% Nights, and 2% Summer. Highlights an 86% Physical, 7% Hybrid, and 7% Remote job distribution, with an average salary of $113,332 per year, or $54.5 per hour.

Staff Software Engineer, ML Acceleration

Stack AV

Pittsburgh, PA • On-site

Full-time

Re-posted 25 days ago


Job description

Job Summary:
Stack AV is developing revolutionary AI and advanced autonomous systems aimed at enhancing safety and efficiency in the trucking transportation industry. The Staff Software Engineer, ML Acceleration will focus on increasing product development velocity by optimizing machine learning iterations and promoting best practices among Machine Learning Engineers across the company.
Responsibilities:
• Analyze ML models to identify and resolve performance bottlenecks.
• Incorporate OSS tools to enable ML engineers self-sufficiently profile and optimize models.
• Deliver solutions to streamline model deployment across various hardware platforms.
• Collaborate with ML researchers to balance model accuracy and speed.
• Implement optimizations using CUDA, Triton, and custom kernels.
• Promote Engineering Excellence: Maintain a high bar for engineering excellence in their own work but also set a culture of engineering excellence within the team.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 5+ years of experience (including experience with GPU programming and optimization)
• Strong programming skills in C++ and Python
• Proven experience in GPU programming and optimization
• Familiarity with deep learning frameworks, especially PyTorch
• CUDA programming
• Triton language for GPU kernels
• PyTorch optimization techniques
• TensorRT implementation
• ONNX model conversion and deployment
• Custom GPU kernel development
• Deep understanding of GPU architectures and performance optimization
• Strong analytical and problem-solving skills
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
Preferred:
• Autonomous vehicles (AV) experience is a bonus
Company:
Stack AV operates in the transportation industry that develops advanced autonomous systems. Founded in 2023, the company is headquartered in Pittsburgh, USA, with a team of 51-200 employees. The company is currently Growth Stage.