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Pytorch Jobs in Portland, OR (NOW HIRING)

Nvidia

Senior CPU Performance Architect

Hillsboro, OR

$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 ...

Nvidia

Senior Performance Architect, Nemotron

Hillsboro, OR · On-site

$181K/yr

Experience with deep learning frameworks like PyTorch, TRT-LLM, VLLM, SGLang * A Growth mindset and pragmatic "measure, iterate, deliver" approach. Ways to Stand Out from the Crowd * Proven track ...

Nvidia

Senior System Simulation Architect

Hillsboro, OR · On-site

Experience with CPU/GPU application development and optimization in Pytorch, TensorFlow, and similar frameworks NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC ...

Intel

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR · On-site +1

$195K - $275K/yr

... PyTorch, ONNX Runtime, and many others. This is a unique opportunity to work at the intersection of AI algorithms, lowlevel performance engineering, and cuttingedge Intel hardware, enabling ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Python-based ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Data processing tools (Pandas, Spark, SQL) * Deploy models and services using: * REST APIs (FastAPI, Flask) * Containerization ...

Intel

Systems Research Engineer/Scientist

Hillsboro, OR · On-site

$122K - $232K/yr

Experience with AI/ML frameworks and libraries (e.g., Pytorch, CUDA, vLLM, Triton, NCCL, oneCCL, oneAPI) * Experience with GPU performance profiling (e.g., Unitrace, Nsight, Omnitrace) * Experience ...

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Pytorch information

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$80.4K

$144.1K

$206.7K

How much do pytorch jobs pay per year?

As of Jun 11, 2026, the average yearly pay for pytorch in Portland, OR is $144,134.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,867.00 and $176,272.00 per year, depending on experience, location, and employer.

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 Portland, OR? The most popular types of Pytorch jobs in Portland, OR are:
What are popular job titles related to Pytorch jobs in Portland, OR? For Pytorch jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Pytorch jobs in Portland, OR look for? The top searched job categories for Pytorch jobs in Portland, OR are:
What cities near Portland, OR are hiring for Pytorch jobs? Cities near Portland, OR with the most Pytorch job openings:
Pytorch jobs near you
Infographic showing various Pytorch job openings in Portland, OR as of June 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $144,134 per year, or $69.3 per hour.
Senior CPU Performance Architect

Senior CPU Performance Architect

Nvidia

Hillsboro, OR

$181K/yr

Full-time

Posted 3 days ago

Job description

Do you want to help drive the development of CPU technology for architectures used for artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and autonomous vehicles? Come join the CPU performance architecture team and help us push performance boundaries for all our CPU products!

What you'll be doing:

  • Work on workload bring-up and performance analysis/projection, both on silicon and full-system simulator.

  • Study workloads for a wide range of markets, including AI/DL, CSP, HPC, and autonomous vehicles.

  • Study real world use-cases and identify critical application behavior and reduce to directed test cases.

  • Analyze and debug performance scaling bottlenecks on multi-core and multi-socket CPU and CPU/GPU systems.

  • Work with CPU and interconnect architects to improve future CPU and system designs based on your findings.

  • Benchmark NVIDIA's CPU offerings against competition and suggest software or hardware improvements.

What we need to see:

  • BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.

  • 12+ years of relevant experience.

  • Experience with CPU workloads and performance analysis.

  • Knowledge of performance test development and benchmarking for CPU and I/O.

  • Deep knowledge of CPU microarchitecture and system architecture.

  • Experience with the ARM instruction set architecture (ISA) preferable but not required.

Ways to stand out from the crowd:

  • PhD or Research experience.

  • GPU driver experience.

  • Knowledge of GPU-accelerated workloads andmodeling performance of accelerated workloads.

  • 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 technologies power transformative applications across industries - from robotics and autonomous vehicles to healthcare and climate research.With the introduction of theGrace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded into the CPU server market, complementing our world-class GPUs and SoCs. These CPUs play a critical role in orchestrating complex workloads with exceptional performance-per-watt efficiency. The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 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.
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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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