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Pytorch Developer Jobs in Pennsylvania (NOW HIRING)

Cadence

Senior Software Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... PyTorch, TensorFlow, SciKit, etc. • Basic understanding of Retrieval-Augmented Generation (RAG ... innovation in the engineering design of silicon to systems. Founded in 1988, the company is ...

Motional

Senior Embedded Software Engineer

Pittsburgh, PA · On-site +1

$120K - $157K/yr

If you are a software engineer and love the idea of working on embedded AI hardware and software ... Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. We encourage a hybrid ...

Bespoke Labs

Machine Learning Engineer

Reading, PA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Erie, PA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Allentown, PA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Bloomsburg, PA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Indiana, PA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Pittsburgh, PA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Harrisburg, PA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

HELLBENDER Inc.

Perception Engineer

Pittsburgh, PA · Hybrid

Perception Engineer Department: Engineering Report to: VP of Software Engineering Who We Are ... PyTorch, etc.) * 3+ years of professional experience building perception systems that incorporate ...

HELLBENDER Inc.

Perception Engineer

Pittsburgh, PA · Hybrid

Perception Engineer Department: Engineering Report to: VP of Software Engineering Who We Are ... PyTorch, etc.) * 3+ years of professional experience building perception systems that incorporate ...

HELLBENDER Inc.

Perception Engineer

Pittsburgh, PA · On-site

Perception Engineer Department: Engineering Report to: VP of Software Engineering Who We Are ... PyTorch, etc.) * 3+ years of professional experience building perception systems that incorporate ...

Woolpert

Senior Software Engineer

Pittsburgh, PA · Hybrid

$118K - $156K/yr

AI/ML frameworks (Tensorflow, Pytorch) * Cloud platforms (Azure, AWS, Google) Nice to Have ... Programming experience in C++ or JavaScript * Experience with Agile processes like Scrum Benefits ...

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Pytorch Developer information

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
What are popular job titles related to Pytorch Developer jobs in Pennsylvania? For Pytorch Developer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Pennsylvania look for? The top searched job categories for Pytorch Developer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Pytorch Developer jobs? Cities in Pennsylvania with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Pennsylvania as of July 2026, with employment types broken down into 77% Full Time, 10% Part Time, 2% Temporary, 10% Contract, and 1% Nights. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution.
Senior Software Engineer

Senior Software Engineer

Cadence

Pittsburgh, PA • On-site

$118K - $156K/yr

Full-time

Posted 25 days ago

Job description

Job Summary:
Cadence is a technology company focused on developing leaders and innovators. They are seeking a passionate Senior Software Engineer to join their Virtuoso place and route infrastructure team to enhance the routing foundation using advanced math, computer science, graph theory, and machine learning.
Responsibilities:
• Ability to work in a fast-paced research and development environment.
• Strong analytical thinking and debugging skills.
• Experience with rapid prototyping in open-source AI/ML projects.
Qualifications:
Required:
• BS/MS/Phd in Computer Science, Applied Mathematics, Data Science, or a related field.
• 10+ years of experience.
• Strong foundation in machine learning, deep learning, and natural language processing (NLP) and LLM.
• Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, SciKit, etc.
• Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases.
• Comfortable working with LLM APIs and integrating them into applications.
• A solid understanding of machine learning concepts (e.g., supervised/unsupervised learning, NLP, computer vision) and algorithms is crucial.
• Proficiency in Python is essential. C++ also valuable.
• Ability to work in a fast-paced research and development environment.
• Strong analytical thinking and debugging skills.
• Experience with rapid prototyping in open-source AI/ML projects.
Preferred:
• Domain knowledge in analog circuits design and layout, and VLSI design flow is preferred
Company:
Cadence is a market leader in AI and digital twins, pioneering the application of computational software to accelerate innovation in the engineering design of silicon to systems. Founded in 1988, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.

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