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Pytorch Jobs in Oregon (NOW HIRING)

Nvidia

OR

$129.40K - $175.80K/yr

Proficiency in Python and ML frameworks like PyTorch, TensorFlow, and LangChain * Strong problem-solving and debugging skills, with a track record of driving issues to closure * Effective ...

Instacart

OR · On-site

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 ...

Nvidia

OR

$122.40K - $161.30K/yr

Prior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM. * Knowledge of GPU memory management, cache management, or high-performance networking.

Nvidia

OR

$122.40K - $161.30K/yr

Internals of frameworks like PyTorch, JAX * Exceptional CUDA programming skills. Exceptional C++ programming skills NVIDIA is widely considered to be one of the technology world's most desirable ...

Nvidia

OR

$122.40K - $161.30K/yr

PyTorch, TensorFlow, scikit-learn, etc.) * Proven ability developing customer-facing solutions, balancing feature requests and bugs. * Proven technical foundation in CPU and GPU architectures ...

SentinelOne

Senior Backend Software Engineer, ObservoAI

OR · Remote

$122.40K - $161.30K/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 ...

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 ...

Game Plan Tech

OR

Strong programming skills in Python and familiarity with common ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). What we are looking for in a strong candidate * Google ...

Varsity Tutors

Artificial Intelligence (AI) Tutor

OR · Remote

$40/hr

Adapts instruction using Python with TensorFlow or PyTorch, interactive notebooks, and real-world data projects to support students from AI concepts introduction through intermediate machine learning ...

Nvidia

Senior CPU Performance Architect

Hillsboro, OR · On-site

$181.90K/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 ...

Nvidia

OR · On-site

$122.40K - $161.30K/yr

Contribute to Deep Learning Software projects, such as PyTorch, vLLM, and SGLang to drive advancements in the field. * Experience with Multi-GPU Communications (NCCL, NVSHMEM) * Experience building ...

Nvidia

OR

Experience with ML/DL algorithms with frameworks such as TensorFlow, Jax, PyTorch, Spark, Dask * Ability to communicate ideas and share code clearly through blog posts, GitHub * Enjoy working with ...

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Pytorch information

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 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.
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Pytorch jobs near you
Senior GPU Functional Modeling Architect

Senior GPU Functional Modeling Architect

Nvidia

$129.40K - $175.80K/yr

Full-time

Posted 8 days ago

Job description

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

NVIDIA Architecture Modeling group is looking for Architects, Functional Modeling Engineers, and Simulation experts to join various architecture efforts across GPU Architecture teams. In this position, you will be working with other world-class architects on enabling functional simulation platforms across GPU generations.

What you'll be doing:

  • Modeling of GPU architecture, baseboard components and other features

  • Work in a matrixed environment, across the different modeling teams, to document, design, develop tools to analyze and simulate, validate and verify models

  • Familiarize with different functional and performance simulation models across Nvidia and work through modeling features

  • Develop tests, test plans and testing infrastructure for new architectures/ features

  • Guide the improvement of the simulation platform and expand other resources to support future GPU architectures

  • Develop or use AI to help with day-to-day tasks

What we need to see:

  • BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related fieldwith 5+ years of experience in related areas

  • Proficient programming skills in C++, C, and scripting languages such as Python or Perl.

  • Solid background in Computer Architecture with experience in modeling (System C & TLM preferred)

  • Proficiency in Python and ML frameworks like PyTorch, TensorFlow, and LangChain

  • Strong problem-solving and debugging skills, with a track record of driving issues to closure

  • Effective communication and interpersonal skills, with the ability to work successfully in a distributed team environment

  • Strong collaboration skills with design and engineering teams

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 February 24, 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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