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Nvidia Deep Learning Jobs in Pennsylvania (NOW HIRING)

Autonomy Engineer

Pittsburgh, PA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with physics-based simulators such as NVIDIA's Issac Sim is required. * Robotics ... Knowledge and Learning: You possess broad technical interests along with a deep knowledge of a ...

Experience with physics-based simulators such as NVIDIA's Issac Sim is required. * Robotics ... Knowledge and Learning: You possess broad technical interests along with a deep knowledge of a ...

Autonomy Engineer

Pittsburgh, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with physics-based simulators such as NVIDIA's Issac Sim is required. * Robotics ... Knowledge and Learning: You possess broad technical interests along with a deep knowledge of a ...

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Nvidia Deep Learning information

See Pennsylvania salary details

$11K

$84.1K

$140.3K

How much do nvidia deep learning jobs pay per year?

As of Aug 13, 2026, the average yearly pay for nvidia deep learning in Pennsylvania is $84,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $139,300.00 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 the most commonly searched types of Nvidia Deep Learning jobs in Pennsylvania? The most popular types of Nvidia Deep Learning jobs in Pennsylvania are:
What are popular job titles related to Nvidia Deep Learning jobs in Pennsylvania? For Nvidia Deep Learning jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Nvidia Deep Learning jobs in Pennsylvania look for? The top searched job categories for Nvidia Deep Learning jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Nvidia Deep Learning jobs? Cities in Pennsylvania with the most Nvidia Deep Learning job openings:
Infographic showing various Nvidia Deep Learning job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,087 per year, or $40.4 per hour.

Vision Guided Robotics Developer

WESTFALIA TECHNOLOGIES INC

York, PA • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 26 days ago


Job description

Westfalia Technologies, Inc. is seeking a dedicated Vision Guided Robotics Developer to join our Research and Development team! The Vision Guided Robotics Developer designs and develops intelligent software systems that enable robotic platforms to operate autonomously in industrial environments. This role applies artificial intelligence, computer vision, and robotics technologies to advance automation capabilities and support vision-guided robotic systems used in material handling and warehouse automation.

Location Requirements: The position is hybrid, based out of Westfalia Technologies' headquarters in York, PA, and requires residency within 100 miles of that facility and within one of the following states: DE, MD, NJ, or PA.

Job Functions:

  • Design, develop, and maintain software systems for robotic perception, navigation, and manipulation using AI, machine learning, and traditional programming approaches, selecting the method best suited to the business need.
  • Develop and integrate robotics software using ROS2, including ros2_control, MoveIt, and/or Nav2, to support autonomous operation in industrial environments.
  • Implement computer vision systems using OpenCV and deep learning architectures (e.g., YOLO, U-Net, SAM, CNNs, Vision Transformers) for real-time robotic perception.
  • Develop RGB-D and multi-sensor perception pipelines, including 3D perception, 6D pose estimation, SLAM, and/or visual odometry.
  • Train, optimize, and deploy machine learning models using PyTorch or TensorFlow; deploy to edge robotics hardware (e.g., NVIDIA Jetson, GPU servers, or industrial PCs) using ONNX, TensorRT, and GPU acceleration.
  • Monitor deployed AI systems; analyze and report on performance, accuracy, and efficiency improvements to relevant stakeholders.
  • Collaborate with engineering and software teams to ensure solutions meet operational and project requirements.
  • Communicate project status, risks, and outcomes clearly to internal stakeholders.
  • Maintain familiarity with current AI and robotics technologies and industry best practices.
  • Protect confidential and proprietary company information.

Required Skills and Abilities:

  • Strong programming proficiency in Python and C++, with experience building robotics and AI systems in Linux environments.
  • Experience with ROS2 and associated packages (ros2_control, MoveIt, Nav2).
  • Proficiency with machine learning frameworks such as PyTorch or TensorFlow.
  • Experience with computer vision libraries and deep learning architectures for robotic perception (OpenCV, YOLO, U-Net, SAM, CNNs, Vision Transformers).
  • Knowledge of camera geometry, camera calibration, feature extraction, and image processing.
  • Experience with robotics simulation platforms (e.g., NVIDIA Isaac Sim, Gazebo, MuJoCo, or Unity) for testing and synthetic data generation.
  • Familiarity with CAD tools (e.g., SolidWorks, Fusion 360, or Onshape) and preparing CAD models for simulation environments.
  • Experience with Docker, Git, and modern development workflows.
  • Strong verbal and written communication skills in English, including the ability to explain technical concepts clearly to non-technical audiences.
  • Ability to work collaboratively across engineering and software teams.
  • Education and Experience
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a closely related field required.
  • Minimum 3 years of professional experience developing, training, and deploying machine learning or AI models.
  • Equivalent combinations of education and relevant experience may be considered.

Education and Experience:

  • Bachelor’s or Master’s degree in computer science or a related field.
  • 3+ years of experience developing, training, and deploying machine learning or AI models in a professional environment

Physical Requirements:

  • Ability to remain in a stationary position (seated or standing) for extended periods while working at a computer.
  • Ability to occasionally move about within an office or warehouse environment.
  • Ability to occasionally transport equipment or materials weighing up to 15 pounds (e.g., laptop, testing hardware).
  • Ability to communicate effectively in person, via telephone, and through virtual platforms.
  • Ability to travel by air and operate a motor vehicle; must hold a valid driver's license and meet rental vehicle eligibility requirements.

Travel Requirements:

This position requires approximately 10% travel, including occasional domestic and international travel for client visits, technical collaboration, and other business events. Stays of more than one week at international partner sites may occur infrequently. Remote work is available with manager approval when job duties permit. Regular in-office time at the York, PA facility is expected.

Work Authorization: Candidates must be authorized to work in the United States. Westfalia Technologies does not currently offer or anticipate offering immigration sponsorship for this position.

Why Work for Westfalia Technologies, Inc.?  
Our culture can be defined as one of progression and flexibility. Over the years, we have learned it is not only about pay or job title, but more importantly, the relationships and benefits that keep our employees happy and engaged! 

  • Competitive Salary 
  • Medical, Dental, and Vision Coverage 
  • 401K and match options  
  • Educational Assistance Reimbursement  
  • Wellness Program 
  • Healthy Living Reimbursement 
  • Paid Parental Leave  
  • And more!  

Check out our Careers page for more information regarding our culture and additional benefits at https://www.westfaliausa.com/company/careers!  

Westfalia Technologies, Inc. provides equal employment opportunities to all employees and applicants for employment without regard to race, color, ancestry, national origin, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, or service in the military. Equal employment opportunity applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training.