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Remote Cuda Developer Jobs (NOW HIRING)

Danaher

Senior Software Engineer - USA Remote

Raleigh, NC · Remote

$119K - $157K/yr

This fully remote position is part of the Leica Microsystems Research and Development organization ... GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design;

Danaher

Senior Software Engineer - USA Remote

Durham, NC · Remote

$118K - $156K/yr

This fully remote position is part of the Leica Microsystems Research and Development organization ... GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design;

Danaher

Senior Software Engineer - USA Remote

$125K - $165K/yr

This fully remote position is part of the Leica Microsystems Research and Development organization ... GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design;

DeepSig Inc

Senior Software Engineer

Arlington, VA · 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 ...

Cyngn

Senior C++ Robotics Engineer

Mountain View, CA · Remote

$125K - $165K/yr

Extensive experience with real-time system performance optimization and CUDA programming * Deep ... Monthly meal and tech allowances for remote employees *Please note salary range is for Bay Area ...

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H R PUNDITS INC

Senior Graphics Engineer

Santa Clara, CA · Remote

$130K/yr

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 ...

Mantari

Software Engineer

Torrance, CA · On-site +1

Build and optimize CUDA kernels, JAX/PyTorch ops, and distributed training loops for physics-aware ... Strong grasp of modern DevOps: code reviews, CI/CD pipelines, observability, and containerization ...

Redhat

Senior Software Engineer, AI Inference

Boston, MA · On-site +1

$133K - $220K/yr

... CUDA kernel compilation to Kubernetes-orchestrated model serving on OpenShift. If you want to work ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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Remote Cuda Developer information

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How much do remote cuda developer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for remote cuda developer in the United States is $102,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $115,000.00 per year, depending on experience, location, and employer.

How does a Remote CUDA Developer typically collaborate with team members across different locations?

As a Remote CUDA Developer, you will frequently collaborate with cross-functional teams such as data scientists, software engineers, and product managers through virtual meetings, code reviews, and collaborative platforms like GitHub or GitLab. Clear communication and thorough documentation are essential since team members may be in different time zones. You can expect to participate in regular stand-ups, sprint planning, and peer programming sessions, ensuring alignment and smooth integration of your GPU-accelerated code into larger projects. Tools like Slack, Zoom, and project management platforms help maintain connectivity and workflow efficiency.

What is a Remote CUDA Developer?

A Remote CUDA Developer is a software engineer who specializes in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to develop parallel computing applications, often for high-performance tasks like machine learning, scientific computing, or data analysis. They work remotely, collaborating with teams online rather than being physically present in an office. These developers write and optimize code to run efficiently on NVIDIA GPUs, enabling applications to process large amounts of data much faster than traditional CPU-only solutions.

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

To thrive as a Remote CUDA Developer, you need strong proficiency in C/C++ programming, parallel computing concepts, and a solid understanding of GPU architecture, typically backed by a degree in computer science or a related field. Experience with NVIDIA CUDA toolkit, GPU debugging tools, and version control systems like Git is commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication abilities help distinguish high performers in this role. These skills are vital for efficiently delivering high-performance computing solutions and collaborating seamlessly with distributed teams.

What is the difference between Remote Cuda Developer vs Remote Machine Learning Engineer?

AspectRemote Cuda DeveloperRemote Machine Learning Engineer
Required CredentialsCUDA programming certifications, computer science degreeMachine learning certifications, data science background
Work EnvironmentSoftware development, GPU optimizationModel development, data analysis
Industry UsageHigh-performance computing, gaming, AIAI, data science, predictive modeling

Remote Cuda Developers focus on GPU programming and optimization using CUDA, primarily in high-performance computing and AI applications. Remote Machine Learning Engineers develop and deploy machine learning models, often utilizing GPU resources but with a broader focus on data and algorithms. While both roles may involve GPU expertise, Cuda Developers specialize in low-level programming, whereas Machine Learning Engineers work on model development and deployment.

More about Remote Cuda Developer jobs
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What states have the most Remote Cuda Developer jobs? States with the most job openings for Remote Cuda Developer jobs include:
What job categories do people searching Remote Cuda Developer jobs look for? The top searched job categories for Remote Cuda Developer jobs are:
Remote Cuda Developer jobs near you
Computer Scientist

Computer Scientist

Radiance Technologies

Beavercreek, OH • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago

Job description

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, interesting assignments, educational reimbursement, competitive salaries and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.

Radiance is seeking a talented Software Engineer to support the development, integration, and optimization of advanced scientific computing applications and Electro-Optical & Infrared (EO/IR) sensor Modeling and Simulation (M&S) technologies. This role will contribute to the evaluation, development, and integration of capabilities within an existing MATLAB and Rust software environment. In this role you will work closely with a team of software engineers and subject matter experts to extend and integrate physics-based M&S capabilities.

The ideal candidate will have strong scientific programming experience, proficiency with compiled languages, and experience working in Linux and Windows environments. Experience with Rust, CUDA, and high-performance computing is highly desirable. This position is ideal for a software engineer interested in scientific computing, high-performance software development, and next-generation sensing technologies.

Responsibilities

  • Develop and maintain scientific computing software applications.

  • Evaluate existing EO/IR camera models developing improvements for accuracy and efficiency.

  • Design, develop, and integrate solutions into existing software frameworks.

  • Develop and integrate custom physics-based models under the guidance of phenomenology subject matter experts.

  • Collaborate with multidisciplinary teams to integrate capabilities into existing Rust codebases.

  • Convert and optimize existing MATLAB code bases into compiled RUST applications for CPU and GPU processing.

  • Optimize computational performance for CPU- and GPU-based applications.

  • Contribute to software testing, validation, and continuous integration and deployment (CI/CD) efforts.

  • Utilize version control and software development best practices throughout the development lifecycle.

  • Support deployment and operational use of developed algorithms and software solutions.

Required Qualifications

  • US Citizen, eligible and willing to obtain a TS/SCI Security Clearance.

  • Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Physics, Mathematics, or a related technical field.

  • Experience with scientific programming and computational software development.

  • Proficiency with one or more compiled programming languages (such as C++, Rust, or similar).

  • Experience developing software in both Linux and Windows environments.

  • Experience with one or more scientific computing tools, including MATLAB and or Python.

  • Experience using Git or other version control systems.

Preferred Qualifications

  • Rust software development, including at least two years of experience developing and deploying operational Rust applications or algorithms.

  • GPU acceleration and optimization using CUDA.

  • CPU performance optimization and high-performance computing techniques.

  • Continuous Integration/Continuous Deployment (CI/CD) pipelines and DevOps practices.

  • Real-time signal processing, sensor modeling, or simulation environments.

  • Event-based cameras or event-based sensing technologies.

  • Experience working with EO/IR sensor data and radiative transfer models.

  • Understanding of EO/IR sensor phenomenology and atmospheric effects.

  • Active Secret or Top-Secret Security Clearance.

Desired Technical Skills

  • Rust

  • MATLAB

  • Python

  • CUDA

  • Git

  • Scientific computing

  • GPU and CPU performance optimization

  • CI/CD pipelines

  • Remote Sensing Fundamentals

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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