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Cuda Developer Jobs in Pennsylvania (NOW HIRING)

Synopsys Inc

HPC Software Engineer

Canonsburg, PA · On-site

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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$48.1K

$112.1K

$166.4K

How much do cuda developer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for cuda developer in Pennsylvania is $112,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $130,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Cuda developers in their daily work?

Cuda Developers often encounter challenges related to optimizing code for maximum performance while managing the unique memory hierarchies and parallel processing features of GPU architectures. Debugging and profiling GPU code can be more complex than standard CPU programming, requiring specialized tools and a strong understanding of concurrency. Collaboration with data scientists, machine learning engineers, and software architects is common, as Cuda Developers often integrate their code into larger, multi-disciplinary projects. These challenges make the role both stimulating and rewarding for those who enjoy solving intricate computational problems.

What are the key skills and qualifications needed to thrive in the Cuda developer position, and why are they important?

To thrive as a Cuda Developer, you need strong proficiency in C/C++ programming, parallel computing concepts, and hands-on experience with NVIDIA CUDA architecture. Familiarity with GPU development tools such as NVIDIA Nsight, CUDA Toolkit, and relevant certifications can further validate your expertise. Problem-solving skills, attention to detail, and effective collaboration are valuable soft skills in this position. These capabilities are crucial for efficiently developing, debugging, and optimizing high-performance GPU-accelerated applications in demanding computational environments.

What is a Cuda developer?

A CUDA Developer is a software engineer who specializes in programming using NVIDIA's CUDA (Compute Unified Device Architecture) platform. They leverage parallel computing to optimize and accelerate applications, mainly in fields like AI, scientific computing, and high-performance computing. Their responsibilities often include writing GPU-accelerated code, optimizing performance, and working with frameworks like TensorFlow or PyTorch.

What are the most commonly searched types of Cuda Developer jobs in Pennsylvania? The most popular types of Cuda Developer jobs in Pennsylvania are:
What are popular job titles related to Cuda Developer jobs in Pennsylvania? For Cuda Developer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Cuda Developer jobs in Pennsylvania look for? The top searched job categories for Cuda Developer jobs in Pennsylvania are:
Cuda Developer jobs near you
Infographic showing various Cuda Developer job openings in Pennsylvania as of July 2026, with employment types broken down into 83% Full Time, 4% Part Time, 1% Temporary, and 12% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $112,114 per year, or $53.9 per hour.

Staff Software Engineer, ML Acceleration

Stack AV

Pittsburgh, PA • On-site

Full-time

Re-posted 6 hours 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.

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