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Pytorch Developer Jobs in Oregon (NOW HIRING)

Nvidia

OR

$104.40K - $143.40K/yr

Join a diverse, ambitious team focused on improving developer productivity for NVIDIA's AI software ecosystem. We ensure that key deep learning frameworks run optimally on NVIDIA hardware, enabling ...

Nvidia

OR

$121.40K - $163.30K/yr

... PyTorch. These frameworks provide an efficient high-level programming interface, allowing their ... This developer will be a crucial member of a team that is working to unlock the power of ...

Nvidia

OR · On-site

$122.40K - $161.30K/yr

... developer-focused tooling. What you'll be doing: * Design and implement end-to-end integrations of Grove with open-source AI frameworks (e.g., Dynamo, llm-d, Ray, PyTorch, and related ecosystem ...

Nvidia

OR

Strong programming skills with the ability to develop easy-to-understand examples on training pipeline using AI frameworks such as PyTorch, JAX, and NeMo-RL * Ability to prioritize and work through ...

Nvidia

OR

$122.40K - $161.30K/yr

We are looking for a motivated Deep Learning engineer to bring advanced CUDA features and Distributed Runtime technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will ...

ChabezTech LLC

Machine Learning Engineer

Portland, OR · On-site

Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) * Experience with time-series data analysis and anomaly detection * Hands-on experience with causal inference ...

Chabez Tech

Machine Learning Engineer

Portland, OR

... PyTorch/TensorFlow) Experience with time-series data analysis and anomaly detection Hands-on ... engineering, or failure analysis Background in industrial systems, semiconductors, manufacturing ...

Chabez Tech

Machine Learning Engineer

Portland, OR

... PyTorch/TensorFlow) • Experience with time-series data analysis and anomaly detection • Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models) • ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

... PyTorch/TensorFlow) • Experience with time-series data analysis and anomaly detection • Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models) • ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

... PyTorch/TensorFlow) • Experience with time-series data analysis and anomaly detection • Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models) • ...

Nvidia

OR

We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will be working with the ...

Alvys

OR

About the Role As an Engineering Manager focusing on ML and AI, you will lead a talent-dense, US ... PyTorch, ensuring they are optimized for real-world transportation logistics. * Lead the full ...

Nvidia

OR

$104.40K - $143.40K/yr

We are looking for software engineers to contribute to the design and development of libraries and ... PyTorch. If this sounds exciting, we would love to meet you! What you will be doing: * Design and ...

The Chemours Company

Senior Full-Stack AI Developer

OR · On-site +1

Chemours is seeking a Senior Full-Stack AI Developer to join our growing AI & Data Science team ... Experience with PyTorch, including training and fine-tuning pre-trained models, and iterating on ...

Exactsciences

OR · On-site

$209K/yr

Demonstrated experience with Python, at least one major ML framework (e.g., TensorFlow, PyTorch ... Strong programming ability in Python and experience with at least one major ML framework (e.g ...

Nvidia

OR · Hybrid

$122.40K - $161.30K/yr

PyTorch, JAX, TensorFlow, ONNX) and inference libraries (e.g. TensorRT, TensorRT-LLM, vLLM, SGLang ... Proficiency in one of the deep learning programming domain specific languages (e.g. CUDA/TileIR ...

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Pytorch Developer information

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 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 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 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 popular job titles related to Pytorch Developer jobs in Oregon? For Pytorch Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Oregon look for? The top searched job categories for Pytorch Developer jobs in Oregon are:
What cities in Oregon are hiring for Pytorch Developer jobs? Cities in Oregon with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Senior Life Cycle Engineer, PyTorch - Deep Learning

Senior Life Cycle Engineer, PyTorch - Deep Learning

Nvidia

$104.40K - $143.40K/yr

Full-time

Posted 10 days ago

Job description

Are you passionate about building software for large-scale distributed projects? NVIDIA's Deep Learning Frameworks Teams seek Senior Software Engineers to create systems for continuous integration, testing, and delivery of advanced software stacks. Join a diverse, ambitious team focused on improving developer productivity for NVIDIA's AI software ecosystem. We ensure that key deep learning frameworks run optimally on NVIDIA hardware, enabling developers and researchers to push the boundaries of what's possible in AI.

What you'll be doing:

Join a team of experts working together to improve developer productivity for the NVIDIA driven software ecosystem. Develop and maintain continuous development systems through various software verticals spanning from end-users, through layers of open-source software, down to NVIDIA's math libraries, compilers, and drivers. This is a true software engineering role. The team creates tools and infrastructure, debugs issues as they arise, and fixes problems across the entire stack. Together, we stabilize and deliver the entire NVIDIA software stack to the world at global scale. This is a development-focused role that drives software quality and reliability without on-call duties.

What we need to see:

  • MS or PhD in Computer Science or Engineering (or equivalent experience)

  • 5+ years of experience building or supporting large software projects or equivalent

  • Proficiency in C++ and/or Python

  • Proven expertise with scripting languages

  • Experience in continuous build and release management for Linux systems

  • Development of cloud-hosted developer environments and CI/CD systems

Ways to stand out from the crowd:

  • Software development experience with many contributing teams

  • Proven experience shipping multi-cloud large-scale systems and supporting those systems in production

  • Experience with C++ build systems, including dependency issues, symbol resolution, and linking problems

  • Great people skills, including communication, empathy, dependability, patience, and persistence

  • Drive to contribute to and work with globally distributed teams

Join us at NVIDIA, where we are defining the next era of computing and making a lasting impact on the world!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 20, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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