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Freelance Deep Learning Engineer Jobs in Oregon (NOW HIRING)

We are the developers of the Hughes Hallucination Evaluation Model and Correction model, core to ... Familiarity with the technical details of deep learning concepts, such as Transformers, Retrieval ...

... of deep learning foundation models, computational biology, and molecular diagnostics. This ... Engineer rigorous alignment and post-training workflows that ground pre-trained foundation models ...

Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering. * Experience with data provenance tracking, model explainability, and bias ...

As an AI Engineer at Particle41 you will design, develop and deploy machine-learning and deep-learning models/solutions (including generative-AI) that address complex business problems. You will ...

Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering. * Experience with data provenance tracking, model explainability, and bias ...

Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering. * Experience with data provenance tracking, model explainability, and bias ...

Collaborate with top experts in deep learning, HPC, compilers, and systems optimization. * Contribute to technology adopted by millions of developers worldwide. * Engage with a highly visible ...

OR · On-site

$170K - $334K/yr

Experience with recommendation systems, deep learning models, feed/notification relevance ... Proven engineering skills, with experience in writing and maintaining high-quality production code

... Engineers focused on Multimodal Large Language Models (MLLMs) and agentic systems for deep, complex ... Master's or PhD in Machine Learning, Computer Science, or a closely related field (or equivalent ...

OR

$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 ...

AI Solutions Architect

Portland, OR · On-site

$66.75 - $88/hr

Collaborating with architects, engineers, data scientists, and business stakeholders to align ... deep learning, or generative artificial intelligence solutions in production environments

Senior Developer Technology Engineer - AI

Hillsboro, OR · Hybrid

$59.25 - $78.50/hr

... Engineer, Artificial Intelligence! Would you enjoy researching parallel algorithms to accelerate AI ... Expertise in parallelization and performance optimization of Deep Learning models arising from ...

OR

$122K - $161K/yr

More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... Are you a motivated system software engineer with a deep understanding of device driver who has ...

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... • Deep Learning Frameworks (TensorFlow, PyTorch) • Lakehouse architecture • Large-Scale Data Preprocessing • Programming (Python, SQL, C++) • LLM Models (Generative AI, RAG) • Data ...

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Freelance Deep Learning Engineer information

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Senior Software Engineer, CUTLASS Platform

Senior Software Engineer, CUTLASS Platform

Nvidia

Hillsboro, OR

$133K - $175K/yr

Full-time

Re-posted 14 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since 2017, it has provided the community with C++ and Python abstractions to implement custom matrix multiply (GEMM) and related math and deep learning computations on NVIDIA GPUs.

If you are passionate about designing abstractions for Tensor Core and related GPU hardware features in MLIR, Python, and C++ that enable writing high performance kernels, apply to join the CUTLASS team today!

What you'll be doing:

  • Develop core components of the CUTLASS platform including Tensor Core MMAs, copies, synchronization barriers, schedulers, and other GPU hardware features in CUDA C++ and CUTLASS Python DSL.

  • Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL by designing dialects and associated compiler passes.

  • Author example kernels utilizing CUTLASS abstractions to showcase the use of novel GPU hardware features that are crucial for achieving high performance.

  • Collaborate with GPU architecture, CUDA, and NVVM/PTX compiler teams to provide feedback on programming models and to assess the performance of future GPU hardware features.

What we need to see:

  • Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience).

  • 3+ years of relevant industry experience.

  • Strong proficiency in C++ programming and software design, including debugging, performance evaluation, and testing.

  • Experience working with high-performance code generation and knowledge of compiler transformations and optimizations.

  • A deep understanding of computer architecture and parallel computing programming models.

Ways to stand out from the crowd:

  • Experience writing high-performance kernels at low levels of abstractions like NVVM/ PTX for GPUs or other similar parallel processing architectures.

  • Hands-on compiler design experience, particularly in MLIR.

  • Understanding of deep learning models, algorithms, and frameworks.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

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 June 5, 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

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