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Pytorch Jobs in Oregon (NOW HIRING)

... like PyTorch, TRT-LLM, VLLM, SGLang. • A Growth mindset and pragmatic 'measure, iterate, deliver' approach. Preferred : • Proven track record of working in multi-functional teams, spanning ...

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... PyTorch) • Lakehouse architecture • Large-Scale Data Preprocessing • Programming (Python, SQL, C++) • LLM Models (Generative AI, RAG) • Data Governance Apply at www.Nike.com/Careers (Job# R ...

CV/ML Engineer

Portland, OR · On-site

$140K - $190K/yr

Strong experience with image segmentation, object detection, or scene classification (PyTorch, TensorFlow, or equivalent) * Comfortable taking a model from training through to deployed inference

OR · On-site

$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 ...

Hands-on expertise with PyTorch and strong production-level programming skills in Python * Practical application of deep learning architectures such as CNNs, transformers, attention mechanisms, and ...

Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing ...

Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing ...

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar platforms. * Experience optimizing algorithms for performance, scalability, memory efficiency, or real-time ...

Hands-on experience with generative or traditional modeling frameworks (PyTorch, Tensorflow, vLLM) * Prior industry or research internship in machine learning or AI * Interest and experience in ...

Advanced production-level development experience using PyTorch and experience with distributed training on large GPU clusters, including NVIDIA H100s KNOWLEDGE, SKILLS, AND ABILITIES: * Ability to ...

Strong coding (Python) and data fluency (SQL/Pandas), with expertise in classic ML techniques (e.g., XGBoost) and deep learning frameworks (TensorFlow/PyTorch). * Excellent analytical skills and ...

Senior CPU Performance Architect

Hillsboro, OR · On-site

$181K/yr

Experience with performance optimization of AI frameworks such as PyTorch. NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. Our ...

Senior Backend Software Engineer, ObservoAI

OR · Remote

$122K - $161K/yr

Deep expertise in database technologies (SQL and NoSQL) and advanced experience with machine learning frameworks (TensorFlow, PyTorch) and MLOps practices for production ML systems. * Expert ...

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Pytorch information

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

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What are the most commonly searched types of Pytorch jobs in Oregon? The most popular types of Pytorch jobs in Oregon are:
What cities in Oregon are hiring for Pytorch jobs? Cities in Oregon with the most Pytorch job openings:
Infographic showing various Pytorch job openings in Oregon as of June 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.
Senior Performance Architect, Nemotron

Senior Performance Architect, Nemotron

NVIDIA

Hillsboro, OR • On-site

$181K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
NVIDIA is redefining the future of AI systems through deep model–system–hardware co-design, and they are looking for a Senior Performance Architect for Nemotron. In this role, you will develop high-fidelity performance models to evaluate architectural choices and ensure future models achieve optimal trade-offs across accuracy and efficiency.
Responsibilities:
• Develop high-fidelity analytical performance models to prototype emerging algorithmic techniques & hardware optimizations to drive model-hardware co-design Nemotron family of models.
• Prioritize features to guide future software and hardware roadmap based on detailed performance modeling and analysis
• Model end-to-end performance impact of emerging GenAI workflows - such as Speculative Decoding, Agentic Pipelines, Inference-time compute scaling, RL etc. – to understand future datacenter needs
• This position requires you to keep up with the latest DL research and collaborate with diverse teams, including DL researchers, hardware architects, and software engineers.
Qualifications:
Required:
• A minimum qualification of a Master's degree (or equivalent experience) in Computer Science, Electrical Engineering or related fields.
• Strong background in computer architecture, roofline modeling, queuing theory and statistical performance analysis techniques.
• Solid understanding of ML fundamentals, model parallelism and inference serving techniques.
• Proficiency in Python (and optionally C++) for simulator design and data analysis.
• 3+ years of hands-on experience in system evaluation of AI/ML workloads or performance analysis, modeling and optimizations for AI.
• Comfortable defining metrics, designing experiments and visualizing large performance datasets to identify resource bottlenecks.
• Experience with deep learning frameworks like PyTorch, TRT-LLM, VLLM, SGLang.
• A Growth mindset and pragmatic 'measure, iterate, deliver' approach.
Preferred:
• Proven track record of working in multi-functional teams, spanning algorithms, software and hardware architecture.
• Ability to distill complex analyses into clear recommendations for both technical and non-technical collaborators.
• Experience with GPU computing (CUDA)
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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