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Remote Nvidia Deep Learning Jobs (NOW HIRING)

Nvidia

Senior Software Engineer - Agentic Memory

New York, NY · On-site +1

$134K - $176K/yr

We are looking for candidates in any country where NVIDIA has an office, and remote work is accepted. GPU computing is the most productive and pervasive platform for deep learning and AI. It begins ...

NVIDIA

Senior LLVM Compiler Engineer

Santa Clara, CA · On-site +1

$121K - $167K/yr

Familiarity with deep learning frameworks and performance‑critical workloads on NVIDIA GPUs With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be ...

Nvidia

Senior Compiler Engineer Infrastructure

Santa Clara, CA · On-site +1

$127K - $173K/yr

Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be ...

Nvidia

Senior Compiler Engineer Infrastructure

Redmond, WA · On-site +1

$121K - $165K/yr

Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be ...

Nvidia

Senior Compiler Engineer Infrastructure

Austin, TX · On-site +1

$107K - $146K/yr

Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be ...

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All JobsRemote Nvidia Deep Learning Jobs

Remote Nvidia Deep Learning information

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$11K

$83.9K

$140K

How much do remote nvidia deep learning jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote nvidia deep learning in the United States is $83,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $139,000.00 per year, depending on experience, location, and employer.

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.

More about Remote Nvidia Deep Learning jobs
What cities are hiring for Remote Nvidia Deep Learning jobs? Cities with the most Remote Nvidia Deep Learning job openings:
What are the most commonly searched types of Nvidia Deep Learning jobs? The most popular types of Nvidia Deep Learning jobs are:
What states have the most Remote Nvidia Deep Learning jobs? States with the most job openings for Remote Nvidia Deep Learning jobs include:
What job categories do people searching Remote Nvidia Deep Learning jobs look for? The top searched job categories for Remote Nvidia Deep Learning jobs are:
Remote Nvidia Deep Learning jobs near you
Infographic showing various Remote Nvidia Deep Learning job openings in the United States as of June 2026, with employment types broken down into 3% Full Time, 91% Part Time, 3% Temporary, and 3% Contract. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.
Senior Software Architect - Deep Learning and HPC Communications

Senior Software Architect - Deep Learning and HPC Communications

NVIDIA

Remote

$132K - $180K/yr

Full-time

Posted 21 days ago

Job description

Job Summary:
NVIDIA is leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. They are seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software for deep learning and HPC applications.
Responsibilities:
• Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.
• Design and implement new communication technologies to accelerate AI and HPC workloads.
• Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.
• Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations.
• Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs)
Qualifications:
Required:
• M.S./Ph.D. degree in CS/CE or equivalent experience.
• 5+ years of relevant experience.
• Excellent C/C++ programming and debugging skills.
• Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC).
• Deep understanding of operating systems, computer and system architecture.
• Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads.
• Strong experience with Linux.
• Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Preferred:
• Expertise in related technology and passion for what you do.
• Experience with CUDA programming and NVIDIA GPUs.
• Knowledge of high-performance networks like InfiniBand, RoCE, NVLink, etc.
• Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc.
• Knowledge of deep learning parallelisms and mapping to the communication subsystem.
• Experience with HPC applications.
• Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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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

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