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Cuda Remote Jobs (NOW HIRING)

LLM Inference Engineer

OR ยท 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 ...

New

QAIRT * Extend and tune inference engines using custom CUDA kernels * Adapt runtimes for ... Remote and/or hybrid work available depending on the position All compensation and benefits are ...

Senior Software Engineer

Arlington, VA ยท On-site +1

$141K - $185K/yr

Description Type: Full-Time(W2) On-site/Hybrid, Arlington, VA (Remote option available for the ... CUDA) * Software-defined radio (SDR) experience * Embedded system experience * This opportunity is ...

Remote Rate: $130K per annum Job Responsibilities Develop and optimize features in a modern, low ... CUDA, and TensorRT, or with Python interop such as pybind11 Experience submitting code alongside ...

Build and optimize CUDA kernels, JAX/PyTorch ops, and distributed training loops for physics-aware ... Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence

Software Engineer

San Diego, CA ยท On-site +1

$69K - $125K/yr

... ocean remote sensing, and high-performance computing . We're looking for a Software Engineer ... Translate and enhance existing code for GPU/CUDA acceleration and parallel/distributed execution.

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Cuda Remote information

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How much do cuda remote jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for cuda remote in the United States is $39.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $57.45 per hour, depending on experience, location, and employer.

Are CUDA programmers in demand?

CUDA programmers are in high demand in fields such as artificial intelligence, data science, and high-performance computing due to their expertise in parallel programming and GPU acceleration. Companies seek professionals with skills in CUDA, C++, and related tools to optimize computational tasks, and job opportunities are growing across various industries that require intensive data processing. Certifications and experience with GPU architectures can enhance employability in this specialized field.

What are the key skills and qualifications needed to thrive as a CUDA Remote Developer, and why are they important?

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 some 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 jobs use CUDA?

Jobs that use CUDA typically include roles in GPU programming, machine learning, deep learning, data science, and high-performance computing. These positions often require knowledge of parallel programming, C++, and NVIDIA's CUDA toolkit to optimize software for GPU acceleration.

Does Nvidia offer remote positions?

Nvidia offers remote positions for various roles, including technical and engineering jobs like CUDA Remote. These positions often require specific skills, such as programming in CUDA and experience with GPU computing, and may be available in flexible or fully remote work environments depending on the role and team needs.

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 CUDA Remote jobs?

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.

How much do CUDA engineers make?

CUDA engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in GPU programming and deep learning can command higher salaries, especially in tech hubs or companies focusing on AI and high-performance computing.
More about Cuda Remote jobs
What cities are hiring for Cuda Remote jobs? Cities with the most Cuda Remote job openings:
What are the most commonly searched types of Cuda jobs? The most popular types of Cuda jobs are:
What states have the most Cuda Remote jobs? States with the most job openings for Cuda Remote jobs include:
Infographic showing various Cuda Remote job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $81,860 per year, or $39.4 per hour.

LLM Inference Engineer

Near AI

OR โ€ข On-site, Remote

Other

Posted 5 days ago

New


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 inferenceย optimization. In this role, you will push the boundaries of how large language models areย 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 optimizingย major inference engines such as SGLang, vLLM, or TensorRT.
  • Deep knowledge of state-of-the-art GPU architectures, and effectively exploit them usingย PyTorch, Triton, CuTe, CUDA, etc.
  • Proven track record in designing and maintaining end-to-end high-traffic LLM servingย 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 ourย best to accommodate.