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Pytorch Developer Jobs in Oregon (NOW HIRING)

Nvidia

OR

$122K - $161K/yr

PyTorch, JAX, TensorFlow, ONNX, etc) and ideally inference engines and runtimes such as vLLM, SGLang, and MLC. * Strong Python and C/C++ programming skills * Strong experience in GPU kernel ...

Intel

AI Performance Library Architect

Hillsboro, OR · On-site

$170K - $315K/yr

Implementation of linear algebra algorithms (functions from BLAS, LAPACK, or PyTorch) * Performance engineering and software performance optimizations * Floating point arithmetic and numerical ...

Gnostech LLC

Software Engineer (US-Remote)

OR · Remote

Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product ... Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or ...

Smarsh

OR · On-site

$25/hr

Develop SageMaker training jobs for NLP models (NeMo, PyTorch) * Implement MLflow tracking and model registry integrations * Write infrastructure-as-code using Terraform (AWS S3, IAM, VPC) * Create ...

OneStudyTeam

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean ... Experience with functional programming (e.g. Clojure) is a plus but not required. * Cloud and MLOps ...

Logistics Management Institute

The ML Ops Engineer will work at the intersection of advanced AI/ML development, machine learning ... Learn, MLlib, TensorFlow, PyTorch, etc. * Practical experience in deploying AI/ML models in ...

OptiTrack

Machine Learning & Operations Engineer

Corvallis, OR · Remote

$72K - $97K/yr

More typical DevOps responsibilities for software development as required. Requirements Required ... Experience with Python and ML frameworks (PyTorch, TensorFlow, or similar) * Experience building CI ...

OptiTrack

Machine Learning & Operations Engineer

Corvallis, OR · Remote

$72K - $97K/yr

More typical DevOps responsibilities for software development as required. Required Qualifications ... Experience with Python and ML frameworks (PyTorch, TensorFlow, or similar) * Experience building CI ...

Bausch + Lomb

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools. * Experience in business process analysis, process mapping, and workflow ...

Bausch+Lomb Companies Inc.

AI Agent ML Engineer

OR

$165K - $190K/yr

Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools. * Experience in business process analysis, process mapping, and workflow ...

Anno.ai

OR

$104K - $143K/yr

... g., PyTorch, TensorFlow) * Hands-on experience with MLOps frameworks and workflow tooling (e.g ... Understanding of CI/CD workflows and DevOps practices applied to ML systems (e.g., Git, Code Review ...

New

Chainguard

Senior Software Engineer (Libraries Platform)

OR · Remote

$122K - $161K/yr

Develop internal developer tools and CLIs (often in Go) that improve how we build, test, and ship ... PyTorch, TensorFlow) and deploying them in cloud/Kubernetes environments. * Prior experience in SRE ...

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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 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:
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Pytorch Developer jobs near you
Senior Software Engineer, AI and DL Kernel Libraries

Senior Software Engineer, AI and DL Kernel Libraries

Nvidia

OR

$122K - $161K/yr

Full-time

Posted 8 days ago

Job description

We're looking for outstanding AI systems engineers to develop groundbreaking technologies in the inference systems software stack! We build innovative AI systems software to accelerate for AI inference. As a member of the team, you'll develop libraries, code generators, and GPU kernel technologies for NVIDIA's hardware architecture. This means designing and building things like new abstractions, efficient attention kernel implementations, new LLM inference runtimes components, and kernel code generators to accelerate large language models, agents, and other high-impact AI workloads.

What you'll be doing:

  • Innovating and developing new AI systems technologies for efficient inference

  • Designing, implementing, and optimizing kernels for high impact AI workloads

  • Designing and implementing extensible abstractions for LLM serving engines

  • Building efficient just-in-time domain specific compilers and runtimes

  • Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries, kernels, and GPU arch teams

  • Contributing to open source communities like FlashInfer, vLLM, and SGLang

What we need to see:

  • Masters degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); PhD are preferred

  • 6+ years (academic/ industry) experience with ML/DL systems development preferable

  • Strong experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc) and ideally inference engines and runtimes such as vLLM, SGLang, and MLC.

  • Strong Python and C/C++ programming skills

  • Strong experience in GPU kernel development and performance optimizations (especially using CUDA C/C++, cuTile, Triton, or similar)

Ways to stand out from the crowd:

  • Background in domain specific compiler and library solutions for LLM inference and training (e.g. FlashInfer, Flash Attention)

  • Expertise in inference engines like vLLM and SGLang

  • Expertise in machine learning compilers (e.g. Apache TVM, MLIR)

  • Open source project ownership or contributions

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

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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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