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Remote Nvidia Deep Learning Jobs in Oregon (NOW HIRING)

Senior DL Algorithms Engineer - Inference Performance

OR · On-site +1

$122K - $161K/yr

Strong background in deep learning and neural networks, in particular inference. Experience with ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

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 to join our rapidly growing AI Safety and Responsibility efforts for Enterprise Risk Management. In ...

New

... NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...

... NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing More recently, GPU deep learning ignited ...

Senior AI Engineer, High Performance AI

OR · On-site +1

$122K - $161K/yr

Strong experience in building/evaluating deep learning models, coding agents and developer tooling ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Senior Research Engineer - Enterprise Products

OR · On-site +1

$104K - $143K/yr

... 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 ...

Characterizing AI workloads and deep learning models aimed at large-scale LLM training and inference on NVIDIA supercomputers. The role centers on distributed systems with a focus on high-performance ...

Senior AI Compiler Engineer, MLIR

OR · On-site +1

$122K - $161K/yr

NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning-from LLMs and generative AI to recommendation, vision, and speech. On this team, you'll build an MLIR ...

Senior Software Engineer, Matrix Multiplication

OR · On-site +1

$122K - $161K/yr

... 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 ...

Senior Software Engineer, Matrix Multiplication

OR · On-site +1

$122K - $161K/yr

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 ...

Senior LLVM Compiler Engineer

OR · On-site +1

$104K - $143K/yr

... deep learning frameworks and performancecritical workloads on NVIDIA GPUs With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the ...

Senior Graphics Shader Compiler Engineer

OR · On-site +1

$139K - $172K/yr

We deliver features and improvements to better realize the potential of NVIDIA GPUs for a growing range of computational workloads, ranging from deep learning, scientific computation, and self ...

New

Senior Developer Technology Engineer - AI

OR · On-site +1

$54.50 - $72/hr

Expertise in parallelization and performance optimization of Deep Learning models arising from ... NVIDIA's success in the advancement and availability of Artificial Intelligence has created ...

Showing results 41-60

Remote Nvidia Deep Learning information

What is the difference between Remote Nvidia Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

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For Remote Nvidia Deep Learning jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Remote Nvidia Deep Learning jobs?

Cities in Oregon with the most Remote Nvidia Deep Learning job openings:

Senior DL Algorithms Engineer - Inference Performance

Nvidia

OR • On-site, Remote

$122K - $161K/yr

Full-time

Posted 5 days ago


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 looking for a Senior DL Algorithms Engineer for LLM/Omni model optimizations. Seeking senior engineers who are mindful of performance analysis and optimization to help us squeeze every last clock cycle out of Deep Learning workloads. If you are unafraid to work across all layers of the hardware/software stack from GPU architecture to Deep Learning Framework to achieve peak performance, we want to hear from you.

This role offers an opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution. What you will be doing: Enable and optimize state-of-the-art open models (like Nemotron and Cosmos) on NVIDIA's accelerated inference SW stack. Contribute new features, fix bugs and deliver production code to open-source frameworks like TRT-LLM, vLLM, SGLang, FlashInfer, etc.

Profile and analyze bottlenecks across the full inference stack to push the boundaries of inference performance. Benchmark state-of-the-art offerings and perform competitive analysis for NVIDIA's SW/HW stack. Co-design with partner teams to develop the next generation of AI models and services.

What we want to see: PhD in CS, EE or CSEE or equivalent experience. 3+ years of experience. Strong background in deep learning and neural networks, in particular inference.

Experience with performance profiling, analysis and optimization, especially for GPU-based applications. Proficient in PyTorch or equivalent frameworks for AI, or HPC-heavy application development. Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.

Ways to stand out from the crowd: Proven experience with processor and system-level performance optimization. Deep understanding of modern LLM/Diffusion architectures. Strong fundamentals in algorithms.

GPU programming experience (CUDA or OpenCL) is a strong plus. 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 May 9, 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.


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