ZipRecruiter

Log In

1

Intern Computer Vision Deep Learning Engineer Jobs in Oregon

Nvidia

Senior Deep Learning Software Engineer, Inference

OR · On-site +1

$122K - $161K/yr

Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science ... Ways to Stand out from The Crowd Contribute to deep learning software projects, such as PyTorch ...

Nvidia

Senior Deep Learning Algorithm Engineer

OR · On-site +1

$122K - $161K/yr

MS, PhD or equivalent experience in Computer Science, AI, Applied Math, or related fields. 5+ years ... Strong understanding of AI/Deep-Learning fundamentals and their practical applications. Ways to ...

Intel

AI Software Engineering Intern

Hillsboro, OR · On-site

$101K - $136K/hr

... computer vision, machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware software integration. May also include the ...

Intel

... computer vision, machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware software integration. May also include the ...

Intel

AI Software Engineering Intern

Hillsboro, OR · On-site

... computer vision, machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware software integration. May also include the ...

Nvidia

Senior Life Cycle Engineer, PyTorch - Deep Learning

OR · On-site +1

$104K - $143K/yr

NVIDIA's Deep Learning Frameworks Teams seek Senior Software Engineers to create systems for ... MS or PhD in Computer Science or Engineering (or equivalent experience) 5+ years of experience ...

Intel

AI Software Engineering Intern

Hillsboro, OR · On-site

... computer vision, machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware software integration. May also include the ...

Nvidia

Senior Machine Learning Engineer, AI Safety

OR · On-site +1

$114K - $156K/yr

NVIDIA is seeking talented Deep Learning Scientists / AI Researchers / Machine Learning Engineers ... Master's or PhD in Computer Science, Electrical Engineering, or a related quantitative field (or ...

BetterHelp

Staff Machine Learning Engineer

OR · On-site +1

Strong expertise in machine learning techniques, including deep learning, neural networks ... Solid foundation in computer science fundamentals, including object-oriented programming, data ...

Anno.ai

Senior Machine Learning Engineer

OR · On-site +1

$104K - $143K/yr

Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related technical ... Strong proficiency in Python and familiarity with at least one deep learning framework (e.g ...

previous page

Showing results 41-60

All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Oregon

Intern Computer Vision Deep Learning Engineer information

What does an intern computer vision deep learning engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What are the key skills and qualifications needed to thrive as an intern computer vision deep learning engineer?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.

What types of projects or tasks can I expect to work on as an intern computer vision deep learning engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What is the difference between Intern Computer Vision Deep Learning Engineer vs Intern Machine Learning Engineer?

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Oregon?

The most popular types of Computer Vision Deep Learning Engineer jobs in Oregon are:

What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Oregon?

For Intern Computer Vision Deep Learning Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Oregon look for?

The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Oregon are:

What cities in Oregon are hiring for Intern Computer Vision Deep Learning Engineer jobs?

Cities in Oregon with the most Intern Computer Vision Deep Learning Engineer job openings:

Intern Computer Vision Deep Learning Engineer jobs near you

Senior Deep Learning Software Engineer, Inference

OR • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$122K - $161K/yr

Full-time

Re-posted 11 days ago

Key responsibilities

  • Design, build, and optimize GPU-accelerated software for deep learning inference.

  • Contribute features and code to NVIDIA's inference libraries and frameworks.

  • Identify and drive performance improvements for large language models and Generative AI across NVIDIA accelerators.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team. As a key contributor, you will help design, build, and optimize the GPU-accelerated software that powers today's most sophisticated AI applications. Our team is responsible for developing and maintaining high-performance open-source frameworks, which are at the forefront of efficient large-scale model serving and inference.

You will play a central role in improving these platforms, facilitating smooth deployment and serving of groundbreaking language models. You'll work closely with the deep learning community to implement the latest algorithms for public release in inference frameworks. Your work will focus on identifying and driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators, from datacenter GPUs to edge SoCs.

You'll bring to bear open-source tools and plugins-including CUTLASS, OAI Triton, NCCL, and CUDA kernels-to implement and optimize model serving pipelines. What you'll be doing: Performance optimization, analysis, and tuning of DL models in various domains like LLM, Multimodal and Generative AI. Scale performance of DL models across different architectures and types of NVIDIA accelerators.

Contribute features and code to NVIDIA's inference libraries, vLLM and SGLang, FlashInfer and LLM software solutions. Work with cross-collaborative teams across frameworks, NVIDIA libraries and inference optimization innovative solutions. What we need to see: Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI).

5+ years of relevant software development experience. You'll need excellent C/C++ programming and software design skills. SW Agile skills are helpful and Python experience is a plus.

Prior experience with training, deploying or optimizing the inference of DL models in production is a plus. Prior background with performance modeling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus. GPU programming experience (CUDA, OAI TRITON or CUTLASS) is a plus.

Ways to Stand out from The Crowd 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) With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast.

If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you. #LI-Hybrid 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 August 31, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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

View All Nvidia Jobs

Apply