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Cuda Remote Jobs in Oregon (NOW HIRING)

Near AI

LLM Inference Engineer

OR · On-site +1

San Francisco or Remote About The Role The NEAR AI team is building decentralized and confidential ... CuTe, CUDA, etc. * Proven track record in designing and maintaining end-to-end high-traffic LLM ...

Nvidia

Solutions Architect, HPC Systems Engineer

OR · On-site +1

$63 - $83/hr

CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), and/or ARM CPU solutions ... open to remote work location and look forward to have you join our team. NVIDIA is widely ...

Upstart

Staff/Principal Machine Learning Engineer

OR · On-site +1

Practical experience optimizing ML workflows using CUDA/GPU acceleration. * Background in feature ... Remote-US Time zone requirements The team operates on the East/West coast time zones. Travel ...

Nvidia

Manager, First Time Deployment - NVIS

OR · On-site +1

... e.g., CUDA), NVIDIA networking technologies (NICs, RoCE, InfiniBand), and/or ARM-based CPU ... We are open to remote work location and look forward to have you join our team Your base salary ...

Nvidia

Manager, Solutions Architecture - AI Labs

OR · On-site +1

Hands-on experience with NVIDIA GPU systems and SDKs (e.g., CUDA), NVIDIA networking technologies ... We are open to remote work locations and look forward to have you join our team. NVIDIA is widely ...

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Cuda Remote information

What is a CUDA Remote job?

CUDA Remote jobs are positions that focus on developing, optimizing, or supporting applications using NVIDIA's CUDA platform, which enables parallel computing on GPUs, and can be performed entirely from a remote location. These jobs typically involve programming in C, C++, or Python, and require knowledge of parallel computing concepts. Remote CUDA roles are common in industries like AI, scientific computing, data analytics, and graphics rendering, allowing professionals to collaborate with teams globally without needing to relocate.

What skills and qualifications are needed to thrive as a CUDA Remote developer?

To excel as a CUDA Remote Developer, you need strong programming skills in C/C++ and parallel computing concepts, typically supported by a degree in computer science or related field. Familiarity with NVIDIA CUDA Toolkit, GPU architectures, and related development environments is essential. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage remote work challenges. These competencies ensure efficient development of high-performance GPU-accelerated applications and productive teamwork in distributed settings.

What are common challenges faced by CUDA Remote developers when working with distributed GPU workloads?

Cuda Remote developers often encounter challenges related to optimizing data transfer between remote devices, managing synchronization across distributed systems, and debugging performance issues that arise due to network latency. Collaborating with cross-functional teams, such as data scientists and DevOps engineers, is essential to ensure efficient GPU resource allocation and seamless integration with existing infrastructures. Staying up to date with the latest CUDA libraries and best practices is also important for overcoming these hurdles and delivering scalable, high-performance solutions.

What is the difference between Cuda Remote vs Data Analyst?

AspectCuda RemoteData Analyst
Required CredentialsTechnical certifications, remote work experienceDegree in statistics, data science, or related field
Work EnvironmentRemote, often project-basedOffice or remote, depending on employer
Industry UsageTech, finance, healthcareBusiness, marketing, finance
Common Search/ComparisonRemote tech rolesData analysis jobs

While Cuda Remote focuses on remote technical roles often involving CUDA programming, Data Analysts primarily analyze data to inform business decisions. Both roles may require analytical skills, but Cuda Remote emphasizes technical CUDA expertise in remote settings, whereas Data Analysts focus on data interpretation and visualization, often in office or hybrid environments.

What are the most commonly searched types of Cuda jobs in Oregon?

The most popular types of Cuda jobs in Oregon are:

What are popular job titles related to Cuda Remote jobs in Oregon?

For Cuda Remote jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Cuda Remote jobs in Oregon look for?

The top searched job categories for Cuda Remote jobs in Oregon are:

What cities in Oregon are hiring for Cuda Remote jobs?

Cities in Oregon with the most Cuda Remote job openings:

Cuda Remote jobs near you

LLM Inference Engineer

OR • On-site, Remote

Near AI
See more jobs at Near AIexternal

Full-time

Re-posted 5 days ago

Job description

Locations: San Francisco or Remote

About The Role

The NEAR AI team is building decentralized and confidential machine learning infrastructure to enable user-owned AI. Our mission is to build highly scalable and efficient infrastructure for open-source AI at a global scale.

We are specifically seeking an expert in high-performance LLM serving systems and inference optimization. In this role, you will push the boundaries of how large language models are served.

What You'll Be Doing

  • Architect and maintain production high-traffic LLM serving systems.
  • Optimize throughput, latency, and cost for leading open-source LLMs.

What We're Looking For

  • Strong hands-on experience in LLM inference, with expertise debugging and optimizing major inference engines such as SGLang, vLLM, or TensorRT.
  • Deep knowledge of state-of-the-art GPU architectures, and effectively exploit them using PyTorch, Triton, CuTe, CUDA, etc.
  • Proven track record in designing and maintaining end-to-end high-traffic LLM serving systems.
  • Strong problem-solving skills and ability to communicate technical ideas clearly.

We'd Love If You Have

  • Experience with Trusted Execution Environments (TEE).
  • Active contributor to open-source LLM inference engines.

Please let us know if you require any special requirements for your interview and we'll do our best to accommodate.

Apply