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Internship Open Source Research Jobs in Oregon (NOW HIRING)

Senior Research Engineer - Enterprise Products

OR · On-site +1

$104K - $143K/yr

Collaborate with research teams, engineers, and open-source community. What you will be doing ... A history of mentoring junior engineers and interns is a huge plus. A desire to constantly grow and ...

Senior Software Engineer, Open Harness Engineering

OR · On-site +1

$122K - $161K/yr

Published research, technical writing, patents, or substantive open-source work in autonomous software engineering, agent evaluation, reliability, tool use, or inference efficiency. Experience with ...

You will contribute to open-source libraries within the NVIDIA NeMo ecosystem that generate ... Mentor interns and junior researchers to develop technical growth within the team. What we need to ...

This is not a traditional internship. You'll own a research problem end-to-end: framing the ... Evidence of research excellence through publications, open-source contributions, technical ...

This is not a traditional internship. You'll own a research problem end-to-end: framing the ... Evidence of research excellence through publications, open-source contributions, technical ...

This is not a traditional internship. You'll own a research problem end-to-end: framing the ... Evidence of research excellence through publications, open-source contributions, technical ...

This is not a traditional internship. You'll own a research problem end-to-end: framing the ... Evidence of research excellence through publications, open-source contributions, technical ...

OSS-SIRT Engineer, Akrites

OR · On-site

$140K - $155K/yr

The Open Source Security Foundation (OpenSSF) is a cross-industry organization at the Linux ... researcher communications * Support CVE/ID requests and aliasing workflows * Help maintain ...

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Internship Open Source Research information

What is the difference between Internship Open Source Research vs Software Developer Intern?

AspectInternship Open Source ResearchSoftware Developer Intern
Required SkillsResearch skills, familiarity with open source projects, basic codingProgramming languages, software development, coding skills
Work EnvironmentCollaborative open source communities, remote or in-officeTech companies, startups, or software firms, often remote or on-site
Industry UsageResearch-focused roles in tech, academia, or open source projectsProduct development, software engineering teams
Common Search IntentLearning about open source contributions, research opportunitiesGaining software development experience, coding internships

Internship Open Source Research involves exploring and contributing to open source projects, emphasizing research skills and community collaboration. In contrast, a Software Developer Intern focuses on coding, developing software, and applying programming skills. Both roles are valuable entry points in tech but serve different career paths and skill sets.

What cities in Oregon are hiring for Internship Open Source Research jobs?

Cities in Oregon with the most Internship Open Source Research job openings:

Senior Research Engineer - Enterprise Products

Nvidia

OR • On-site, Remote

$104K - $143K/yr

Full-time

Re-posted 27 days ago


Key responsibilities

  • Design and evaluate routing policies for LLM traffic to optimize model system usage.

  • Build and run agentic benchmarks to measure algorithm quality and generate calibration data and routing profiles.

  • Collaborate with engineering teams to ensure seamless integration of software within NVIDIA's accelerated serving stack.


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

We are now looking for a Senior Research Engineer passionate about Generative AI inference. Are you excited to change the way people infuse AI into products and services. NVIDIA is at the forefront of generative AI models, from language to images.

NVIDIA provides building blocks to democratize AI and make generative AI easy to develop, integrate, and deploy. Our team is dedicated to developing optimized inferencing technologies to support our growing generative AI needs. We contribute to all steps of the machine learning lifecycle: from conceptualization, to applied research, engineering for optimized inference, and deployment.

Collaborate with research teams, engineers, and open-source community. What you will be doing: Design and evaluate routing policies for LLM traffic to best use mixture of model systems. Build and run agentic benchmarks (e.g., Terminal-Bench ) to measure algorithm quality, and turn results into calibration data and routing profiles Ship to an open-source repo: design docs, code review, docs, and community contributions Collaborating with engineering teams across all of NVIDIA to ensure our software integrates seamlessly up and down the NVIDIA accelerated serving stack

What we need to see: Bachelor's of Master's degree in Computer Science or equivalent experience. 8+ years of industry experience in Deep Learning frameworks (PyTorch or TensorFlow). Experience designing or running LLM evaluations/benchmarks - ideally agentic ones - and drawing statistically sound conclusions from them Understanding of modern techniques in Machine Learning, Deep Neural Networks, Natural Language Processing, or Speech Recognition.

Empirical research mindset: forming hypotheses about new algorithms, running calibrations, iterating on results Strong communication and interpersonal skills, along with the ability to work in a dynamic and distributed team. A history of mentoring junior engineers and interns is a huge plus. A desire to constantly grow and learn new things.

Strong computer science fundamentals - algorithms and data structures, computational complexity, parallel and distributed computing, system software. Ways to stand out from a crowd: Experience architecting or developing large-scale distributed systems for deep learning. Agentic benchmark creation and publications.

Knowledge of CPU and/or GPU architecture. GPU programming (CUDA). Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 14, 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