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Tensorflow Jobs in Oregon (NOW HIRING)

OR

$122.40K - $161.30K/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 Ways to stand out from the crowd:

OR

$122.40K - $161.30K/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 ...

OR

$139.90K/yr

Good understanding of Deep Learning frameworks like PyTorch and TensorFlow, distributed training and inference. * Knowledge of GPU cluster job scheduling (Slurm or Kubernetes), storage and networking

New

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 ...

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

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 ...

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 ...

D. in a relevant field. • Experience with big data technologies like Spark or Hadoop. • Experience with deep learning frameworks like TensorFlow or PyTorch. • Familiarity with cloud platforms ...

New

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 ...

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 ...

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 ...

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 ...

OR · On-site

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 ...

OR

$63 - $83/hr

Experience with GPUs as well as expertise in using deep learning frameworks such as TensorFlow or PyTorch. * Proficiency in rapid prototyping using Python with strong foundational knowledge of data ...

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Tensorflow information

See Oregon salary details

$39.6K

$129.8K

$207.8K

How much do tensorflow jobs pay per year?

As of May 31, 2026, the average yearly pay for tensorflow in Oregon is $129,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $143,800.00 per year, depending on experience, location, and employer.

What is a TensorFlow job?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

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

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What are typical daily responsibilities for someone working in a TensorFlow Developer role?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.
What are the most commonly searched types of Tensorflow jobs in Oregon? The most popular types of Tensorflow jobs in Oregon are:
What are popular job titles related to Tensorflow jobs in Oregon? For Tensorflow jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Tensorflow jobs? Cities in Oregon with the most Tensorflow job openings:
Infographic showing various Tensorflow job openings in Oregon as of May 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $129,770 per year, or $62.4 per hour.
Senior AI Software Engineer, Kernel Libraries

Senior AI Software Engineer, Kernel Libraries

Nvidia

$122.40K - $161.30K/yr

Full-time

Posted 19 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

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)

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

  • 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 April 26, 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