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Nvidia Deep Learning Jobs in Philadelphia, PA (NOW HIRING)

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Nvidia Deep Learning information

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$11.1K

$84.6K

$141.3K

How much do nvidia deep learning jobs pay per year?

As of Aug 7, 2026, the average yearly pay for nvidia deep learning in Philadelphia, PA is $84,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,700.00 and $140,300.00 per year, depending on experience, location, and employer.

What is an Nvidia Deep Learning job?

An Nvidia Deep Learning job typically involves working with AI, machine learning, and deep learning technologies to develop, optimize, and deploy neural network models. Employees in these roles may work on GPU acceleration, AI frameworks like TensorFlow and PyTorch, and specialized hardware like NVIDIA GPUs and TensorRT. Positions can range from research scientists and software engineers to AI infrastructure specialists, focusing on improving model performance and scalability. These professionals contribute to cutting-edge AI applications in fields like autonomous vehicles, healthcare, and robotics.

What are the main challenges faced by professionals working in Nvidia Deep Learning roles?

Professionals in Nvidia Deep Learning positions often encounter challenges such as optimizing deep learning models to run efficiently on GPU architectures, keeping up with rapidly evolving AI frameworks, and troubleshooting complex system-level integration issues. They may also need to balance tight project deadlines with the demands of rigorous research and experimentation. Collaboration with interdisciplinary teams—such as software developers, data scientists, and hardware engineers—is common and essential to deliver robust solutions. Overcoming these challenges helps professionals stay at the forefront of innovation in the AI and deep learning industry.

What are the key skills and qualifications needed to thrive in the Nvidia Deep Learning position, and why are they important?

Excelling in an Nvidia Deep Learning role requires a strong background in computer science, machine learning, and mathematics, often supported by an advanced degree in a related field. Expertise in deep learning frameworks (such as TensorFlow or PyTorch), CUDA programming, and experience with Nvidia GPU hardware are typically expected, along with relevant certifications like Nvidia Deep Learning Institute credentials. Strong analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this position. These skills are crucial to efficiently develop, optimize, and deploy deep learning models leveraging Nvidia technologies in cutting-edge applications.

What are popular job titles related to Nvidia Deep Learning jobs in Philadelphia, PA? For Nvidia Deep Learning jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Nvidia Deep Learning jobs in Philadelphia, PA look for? The top searched job categories for Nvidia Deep Learning jobs in Philadelphia, PA are:
Nvidia Deep Learning jobs near you
Infographic showing various Nvidia Deep Learning job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $84,648 per year, or $40.7 per hour.

Full Stack Developer & AI/ML Engineer - Vision AI

Proconex

Royersford, PA

Other

Re-posted 24 days ago

Job description

About Proconex

Proconex is a trusted leader in industrial automation and process control solutions, proudly serving the industry for over 75 years. With a rich legacy of delivering high-performance systems and equipment to process industries-including oil & gas, chemicals, power, and life sciences- we are now entering an exciting new chapter.

We are building on a solid foundation of over 10 years of successful deployments with our next-generation software products. Our software solutions are designed to empower industrial operators with operational analytics, enabling smarter, more efficient, and more reliable operations. This is a unique opportunity to be part of a growth-focused team that is taking proven technology to the next level.

About the Role

Linque is expanding its Vision AI and Cognitive Automation platform, which focuses on applying real-time computer vision and AI to industrial, biopharmaceutical, and process manufacturing environments. We are seeking a Senior Development Engineer with experience in Vision AI and OpenCV to help lead the development, deployment, and customer-facing application of advanced vision AI solutions. This role sits at the intersection of deep technical execution, platform development, and real-world industrial use cases.

The successful candidate will have a deep understanding of Domain-Driven Design patterns and be able to integrate Vision AI/ML. Additionally, this role will need to understand how to improve data pipeline performance by developing computationally efficient algorithms that run standalone on edge devices such as Nvidia Jetson hardware.


This role will also require supervisory experience to manage and assign tasks to full-stack developers and interface with the core Vision AI team as they develop new models for deployment.
Key Responsibilities

  • Design, develop, and deploy production-grade computer vision and machine learning models
  • Build optimized end-to-end vision pipelines for real-time and near-real-time applications
  • Translate complex industrial problems into scalable AI architecture
  • Collaborate cross-functionally with product, engineering, and commercial teams
  • Participate in technical customer discussions, pilots, and evaluations
  • Support prototypes through pilot and production transitions
  • Mentor junior engineers and contribute to technical best practices

Required Qualifications

  • 7+ years' experience in software development coupled with an understanding of computer vision and machine learning algorithms.
  • Strong hands-on experience deploying edge devices and AI systems in production
  • Proficiency in Python, TypeScript and modern ML frameworks (e.g., PyTorch, TensorFlow, Keras)
  • Deep knowledge of Video / Image processing tools (e.g. Mask R-CNN, ResNet, U-Net, OpenCV)
  • Mastery of model interchange and GPU acceleration (e.g. ONNX, CUDA, cuDNN)
  • Experience working with image/video pipelines, container orchestration (local and cloud)
  • Domain-Driven Design.

Preferred Qualifications

  • Experience with real-time vision systems
  • Background in industrial automation or regulated environments
  • Experience with edge or cloud deployment
  • Ability to communicate complex technical topics clearly

Why Join Linque

  • Apply AI to real industrial problems with measurable impact
  • Collaborate with experienced AI and industrial leaders
  • Influence the evolution of next-generation Vision AI platforms
  • Flexible, growth-oriented environment

Apply today to learn more about this exciting new opportunity at Proconex, the exclusive Emerson Impact Partner for the Mid-Atlantic region!

Apply