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Remote Deep Learning Research Jobs in Oregon (NOW HIRING)

As such, our research spans many Artificial Intelligence and Machine Learning areas, including Large Language Models (LLMs) and other foundation models, deep learning, search and recommender systems ...

This role develops and deploys deep learning models across digital pathology, genomics ... Proven ability to take ownership of research projects and translate prototypes into robust ...

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Lead Data Scientist

OR · On-site +1

... based research and generate insights from large data sets with a hands-on/can do attitude of ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

You will embed yourself alongside your stakeholders to form a deep understanding their business as ... Flexible work models, including remote work arrangements, where possible Apply now for a career ...

Staff AI Research Engineer

Salem, OR · On-site +1

$216K - $338K/yr

In addition to driving research direction, you will play a key role in shaping the technical ... Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.

Senior DL Compiler Engineer -CUDA Tile

OR · On-site +1

$122K - $161K/yr

NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs ... or research experience in compiler optimization, performance analysis and IR design. * Ability to ...

Applied Scientist

OR · On-site +1

The team conducts machine learning research, evaluates model performance, and partners closely with ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Tackling unique, deep-modeling challenges such as competing risk, collateral, and recovery modeling ... Managing MLE-heavy engineering and research efforts to optimize our core unsecured personal loan ...

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Remote Deep Learning Research information

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Infographic showing various Remote Deep Learning Research job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Technical Program Manager, Deep Learning Frameworks

Nvidia

OR • On-site, Remote

Full-time

Posted 27 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

Deep Learning Software is looking for a Technical Program Manager to lead software programs for Deep Learning Training and Inference Frameworks, with the goal of supporting NVIDIA's top AI researchers and software engineers in driving the future of deep learning. This position requires managing software programs in a highly matrixed environment using industry-leading processes to navigate an active and evolving roadmap. The TPM will work alongside senior management and coordinate efforts with partners across the company to ensure alignment and exceptional execution. They will engage closely with our software, hardware, and infrastructure teams to foster strong engineering collaborations. Furthermore, they will develop and standardize planning, reporting, and execution practices and metrics to achieve ambitious objectives in a rapidly changing environment.

What You'll Be Doing:

  • Collaborate with hardware, software, and model program managers, product managers and engineering teams to deliver Deep Learning Frameworks programs on existing and new hardware.

  • Engage with cross-company teams (hardware/software engineering, product, QA, compliance) and drive alignment on release scope, milestones, risk management, and dependencies.

  • Guide software programs in all aspects of program management - planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues.

  • Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data driven decisions.

  • Define and implement standard processes for open-source contribution and release management within the Nvidia AI/ML ecosystem.

  • Report on overall program status, providing insights and recommendations to senior management.

  • Drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes.

What We Need To See:

  • Postgraduate degree in Computer Science, Artificial Intelligence, Mathematics or equivalent experience.

  • 10+ years software program management experience including proven track record leading global projects, adaptable to multiple time zones in fast-paced software development environments.

  • Proven experience with delivering large software programs, spanning multiple layers of the software stack.

  • Ability to think strategically and tactically and to build consensus to make programs successful by engaging and moderating successful engagements with engineering and product teams.

  • Excellent communication, technical presentation, and attention to detail skills with a shown ability to multitask in a dynamic environment with shifting priorities and changing requirements.

  • Excellent organizational skills and ability to use project management tools (e.g. Jira, Aha!, Confluence) and distributed version control systems (e.g. Git).

Ways To Stand Out From The Crowd:

  • Experience with Deep Learning Frameworks (PyTorch, Jax, etc.), ML compilers (XLA, Triton, etc.), GPU Technology, open-source development.

  • Prior experience in production software development, release management, DevOps with a consistent track record of driving process improvements and measuring efficiency.

  • Exposure to NVIDIA GPU programming and software stack (CUDA Toolkit, cuDNN, TensorRT, NCCL, etc.).

  • Engineering background.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 27, 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.#deeplearning

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

Year founded

1993