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Cuda Remote Jobs (NOW HIRING)

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 · On-site +1

$87K - $157K/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.

... CUDA, OpenCL). * Customer-centric approach with a proven ability to build trust and foster ... Remote Work Reimbursement: Up to $85/month for mobile and internet. * Disability & Life Insurance:

Key Customers Solutions Architect

$64.50 - $85/hr

... CUDA, OpenCL). * Customer-centric approach with a proven ability to build trust and foster ... Remote Work Reimbursement: Up to $85/month for mobile and internet. * Disability & Life Insurance:

Senior AI Research Scientist

San Francisco, CA · On-site +1

$116K - $147K/yr

Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an ... techniques, and CUDA. Soft Skills / Personal Characteristics * Curiosity‑driven and ...

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Cuda Remote information

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How much do cuda remote jobs pay per hour?

As of Aug 21, 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.

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.

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 August 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $81,860 per year, or $39.4 per hour.

Software Engineer

Mantari

Torrance, CA • On-site, Remote

Full-time

Re-posted yesterday


Job description

Description

Own the guts of our modeling engine, everything between raw sensor data and a lightning-fast forecast API:

  • Build and optimize CUDA kernels, JAX/PyTorch ops, and distributed training loops for physics-aware transformer models
  • Stand up reproducible, containerized pipelines (Ray, Kubernetes, Slurm, or similar) that scale from a single GPU to multi-region GPU clusters in the cloud
  • Automate data ingest and feature engineering from our growing sensor network (satellite, buoy, radar, etc.)
  • Translate novel research prototypes into production-grade code

You'll work closely with Mantari's Head of Weather and AI modeling teams to operationalize next-generation forecast systems, bringing meteorological science and modern ML together at planetary scale.

Requirements
  • Degree in Atmospheric Science, Computer Science, or related engineering / physical sciences field
  • 5+ years writing high-performance Python/C++/Rust for GPU workloads
  • Real-world experience designing and building cloud-native applications and infrastructure (GCP, AWS, or Azure)
  • Deep fluency with at least one modern deep learning framework (JAX, PyTorch, TensorFlow, etc.)
  • Proven track record shipping distributed training or inference systems at scale (100+ GPUs)
  • Comfortable profiling kernels, diagnosing memory bottlenecks, and reading compiler logs when needed
  • Strong grasp of modern DevOps: code reviews, CI/CD pipelines, observability, and containerization
Bonus Qualifications
  • Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence
  • Background in physics-informed ML, simulation modeling, or data assimilation
  • Contributions to open-source ML or scientific computing frameworks
How We Work
  • Small, senior team; high autonomy, high expectations.
  • Collaborate closely with the founding team and SMEs to push the boundaries of observation-driven AI-native weather forecasting, and turn weather into an advantage, not a roadblock.
  • LA HQ required.
  • Equity upside commensurate with being one of the first core team members. Competitive salary, full benefits, and hardware budget.