ZipRecruiter

Log In

1

Nvidia Software Jobs in Pennsylvania (NOW HIRING)

Bentley Systems

Principal Software Engineer

Philadelphia, PA · On-site

$136K - $182K/yr

Principal Software Engineer Location: Philadelphia, PA - Hybrid No sponsorship is available for ... Unity, and NVIDIA Omniverse. * Drive the research and implementation of novel 3D graphics ...

Synopsys Inc

HPC Software Engineer

Canonsburg, PA · On-site

... NVIDIA Nsight, or similar, and translate findings into actionable performance improvements • Build and maintain code benchmarking suites that track solver performance across releases and catch ...

YO AI Labs

CUDA Software Engineer - Remote

Philadelphia, PA · Remote

$60 - $100/hr

Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of GPU performance and architecture. * Excellent analytical, problem-solving, and technical communication ...

New

YO AI Labs

GPU Programmer - Remote

Philadelphia, PA · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and ... Required Qualifications * Strong experience with GPU programming, particularly on NVIDIA GPUs

New

Ghost Robotics

Linux Systems Engineer

Philadelphia, PA · On-site

Support and maintain NVIDIA Jetson modules and associated embedded platforms. Build System Architecture * Develop and maintain sophisticated Linux build environments. * Manage software dependencies ...

next page

Showing results 1-20

All JobsNvidia Software JobsNvidia Software Jobs in Pennsylvania

Nvidia Software information

What is an Nvidia software engineer?

Nvidia Software engineers are professionals who design, develop, and optimize software solutions for Nvidia's products, such as GPUs, AI platforms, and related technologies. They work on a variety of projects, including graphics drivers, deep learning frameworks, and high-performance computing applications. Their role involves collaborating with hardware engineers, improving system performance, and ensuring seamless integration with Nvidia hardware. Nvidia Software engineers are essential in advancing the capabilities of graphics and AI technology.

What skills and qualifications are needed to thrive as an Nvidia software engineer?

To thrive as an Nvidia Software Engineer, you need proficiency in programming languages like C++ and Python, strong knowledge of computer architecture, and often a degree in computer science or a related field. Familiarity with parallel computing platforms such as CUDA, GPU development tools, and version control systems like Git is typically required. Problem-solving abilities, collaboration, and effective communication are crucial soft skills for success in this role. These competencies enable engineers to efficiently develop high-performance software and contribute to innovative graphics and AI solutions.

What are common challenges faced by software engineers working at Nvidia, and how can they be addressed?

Software engineers at Nvidia often work on cutting-edge technologies in fields like graphics, AI, and high-performance computing, which can present unique challenges such as rapidly evolving technical requirements and complex problem-solving scenarios. Collaborating across multidisciplinary teams—often globally distributed—requires strong communication and adaptability. To succeed, it's important to proactively seek feedback, stay updated on emerging trends, and leverage Nvidia’s internal learning resources. Embracing a collaborative mindset and being open to continuous learning can help engineers navigate these challenges effectively.

What is the difference between Nvidia Software vs Nvidia Hardware Engineer?

AspectNvidia SoftwareNvidia Hardware Engineer
Required CredentialsBachelor's in Computer Science, Software Development experienceBachelor's in Electrical Engineering or Computer Engineering, hardware design experience
Work EnvironmentSoftware development teams, R&D labs, collaborative projectsHardware labs, prototyping, testing environments
Industry UsageDeveloping drivers, AI software, GPU programmingDesigning GPU chips, circuit boards, hardware components
Common Search/ComparisonYesNo

In summary, Nvidia Software professionals focus on developing and maintaining software solutions like drivers and AI applications, requiring programming skills and software credentials. Nvidia Hardware Engineers work on designing and testing physical GPU components, requiring engineering expertise. Both roles are vital in the tech industry but differ in their focus and skill sets.

What are popular job titles related to Nvidia Software jobs in Pennsylvania?

For Nvidia Software jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Nvidia Software jobs in Pennsylvania look for?

The top searched job categories for Nvidia Software jobs in Pennsylvania are:

Nvidia Software jobs near you
Infographic showing various Nvidia Software job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

GPU Programming Software Engineer Expert - Remote

YO AI Labs

Philadelphia, PA • Remote

$60 - $85/hr

Full-time

Posted 2 days ago

New

Job description

GPU Programmer / Software Engineer

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions.

Key Responsibilities

  • Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL.

  • Profile and optimize GPU kernels and shaders for performance and efficiency.

  • Develop host-side logic and GPU integrations using C++.

  • Create GPU-focused tasks and solutions for AI/LLM applications.

  • Analyze performance bottlenecks and implement optimization strategies.

Required Qualifications

  • Strong experience with GPU programming, particularly on NVIDIA GPUs.

  • Proficiency in CUDA, WebGPU, or GLSL.

  • Strong C++ programming skills.

  • Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU-focused fields.

  • Strong understanding of GPU architecture and performan