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From Home Cuda Jobs (NOW HIRING)

LM Studio

Systems Engineer (C++)

New York, NY · On-site

$175K - $275K/yr

... Metal, CUDA, Vulkan) across macOS, Windows, and Linux. You will profile, debug, and tune the ... Flexible PTO * Flexible WFH * Sun drenched office in SoHo in Manhattan, NY * Access to cool ...

LM Studio

Systems Engineer (C++)

New York, NY · On-site

$175K - $275K/yr

... Metal, CUDA, Vulkan) across macOS, Windows, and Linux. You will profile, debug, and tune the ... Flexible PTO * Flexible WFH * Sun drenched office in SoHo in Manhattan, NY * Access to cool ...

Wayve

Machine Learning Engineer, App SW

Detroit, MI · Hybrid

$283K - $381K/yr

C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering ... ng from home. We operate core working hours so you can determine the schedule that works best for ...

Wayve

Machine Learning Engineer, App SW

Sunnyvale, CA · On-site

$283K - $381K/yr

C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering ... ng from home. We operate core working hours so you can determine the schedule that works best for ...

Wayve

Machine Learning Engineer, App SW

Sunnyvale, CA · On-site

$283K - $381K/yr

C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering ... ng from home. We operate core working hours so you can determine the schedule that works best for ...

Wayve

Machine Learning Engineer, App SW

Sunnyvale, CA · Hybrid

$283K - $381K/yr

C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering ... ng from home. We operate core working hours so you can determine the schedule that works best for ...

Bolt Graphics

GPU Standards Development Lead

Sunnyvale, CA · On-site

$175K - $250K/yr

Deep understanding of modern GPU APIs such as Vulkan, Metal, DirectX, CUDA, and SYCL * Extensive ... Equity - Stock Options * 401(k) match * WFH Equipment Reimbursement * Generous Paid Time Off Bolt ...

Bolt Graphics

GPU Driver Developer

Sunnyvale, CA · On-site

$175K - $250K/yr

Good understanding of modern GPU APIs such as Vulkan, Metal, DirectX, CUDA, and SYCL * Strong ... Equity - Stock Options * 401(k) match * WFH Equipment Reimbursement * Generous Paid Time Off Bolt ...

Bolt Graphics

GPU Driver Lead

Sunnyvale, CA · On-site

$175K - $250K/yr

Good understanding of modern GPU APIs such as Vulkan, Metal, DirectX, CUDA, and SYCL * Strong ... Equity - Stock Options * 401(k) match * WFH Equipment Reimbursement * Generous Paid Time Off Bolt ...

Amat

Algorithm Developer

Santa Clara, CA · On-site +1

$184K - $253K/yr

... at work, at home, or wherever you may go. Learn more about our benefits. Who We Are Applied ... GPU Programming like CUDA, and algorithm optimization and tuning skills are desired. * Working ...

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How much do from home cuda jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for from home cuda in the United States is $16.11, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $16.35 per hour, depending on experience, location, and employer.

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

To thrive as a CUDA Developer, you need a strong background in programming (especially C/C++), parallel computing concepts, and ideally a degree in computer science or a related field. Familiarity with NVIDIA CUDA Toolkit, GPU programming, and performance profiling tools is typically required. Critical thinking, problem-solving, and effective communication skills help in designing efficient algorithms and collaborating with team members. These abilities are crucial to optimize code for high-performance computing applications and deliver scalable solutions.

What is the difference between From Home Cuda vs Data Entry Clerk?

AspectFrom Home CudaData Entry Clerk
Required CredentialsBasic computer skills, sometimes certifications in data managementHigh school diploma or equivalent, basic computer skills
Work EnvironmentRemote, home-basedOffice or remote, depending on employer
Industry UsageFrequent in tech, e-commerce, and digital servicesCommon across various industries like healthcare, finance, retail
Job FocusManaging digital data, software toolsInputting and updating data into systems

From Home Cuda and Data Entry Clerk roles both involve working with digital data, but From Home Cuda typically requires more specialized skills or certifications and is often found in tech-related industries. Data Entry Clerks focus on inputting data and may have fewer certification requirements. Both roles can be remote, but From Home Cuda may involve more complex data management tasks.

What are common challenges faced by remote CUDA developers, and how can they overcome them?

Remote CUDA developers often encounter challenges such as coordinating with team members across different time zones, ensuring access to high-performance hardware for GPU programming, and maintaining clear communication about code changes and project requirements. To overcome these issues, it's helpful to establish regular check-ins, use collaborative development tools like Git, and leverage cloud-based GPU resources when local hardware is insufficient. Staying proactive with communication and documentation also helps keep projects on track and ensures a smooth workflow.

What is a from home CUDA job?

From Home CUDA jobs are remote positions that involve working with CUDA, a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). Professionals in these roles typically work on tasks such as developing, optimizing, and debugging software that leverages GPU acceleration for high-performance computing applications. These jobs can be found in fields like artificial intelligence, machine learning, scientific computing, and graphics processing. Working from home in a CUDA-focused role often requires a strong background in C/C++ programming, experience with GPU architectures, and the ability to collaborate with distributed teams online.
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What cities are hiring for From Home Cuda jobs? Cities with the most From Home Cuda job openings:
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From Home Cuda jobs near you
Infographic showing various From Home Cuda job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $33,500 per year, or $16.1 per hour.

Systems Engineer (C++)

LM Studio

New York, NY • On-site

$175K - $275K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 11 days ago

Job description

The Role
We are hiring a C++ Systems Software Engineer in New York City. You design, build, and optimize the core native runtime that powers LM Studio and the C++ libraries powering the app and our APIs. You will work across our runtime, LLM engines, llama.cpp/MLX integrations, build infrastructure, and the future of our on-device AI software. Your work centers on system and library integration: wiring our C++ runtime to GPU backends, vendor SDKs, and operating-system services to support user-facing applications. You will implement and harden system-level code (threading, memory, files, IPC, scheduling) and integrate platform acceleration paths (Metal, CUDA, Vulkan) across macOS, Windows, and Linux. You will profile, debug, and tune the execution paths that make local AI fast and dependable, and our software well architected and maintainable.
Responsibilities
  • Contribute to the C++ runtime that powers LM Studio
  • Extend our LLM engine integrations and build platform-aware performance features for desktop operating systems.
  • Implement resilient IPC, resource management, and scheduling logic to support concurrent model execution.
  • Improve our build, packaging, and release infrastructure for native components.
  • Collaborate with the rest of the team to deliver cohesive and recognizable user experiences.

Qualifications
  • 4+ years building production C++ systems software across macOS or Linux.
  • Thinks in systems and knows how to reason about performance, reliability, and user experience end-to-end.
  • Proven maturity designing internal and external APIs that are ergonomic, maintainable, and stable over time.
  • C++11 (or newer) expertise with RAII as a default mindset and modern language/library proficiency.
  • Deep knowledge of concurrency, memory management, file systems, and network protocols.
  • Experience optimizing performance with profilers, tracing, and hardware counters.

Benefits
  • Competitive salary and generous equity grants
  • Great medical, vision, dental healthcare plans
  • Catered team lunch / expensed dinners in the office
  • Flexible PTO
  • Flexible WFH
  • Sun drenched office in SoHo in Manhattan, NY
  • Access to cool powerful hardware of all kinds

Our Interview Process
We are looking for engineering excellence and strong values / cultural fit. If your application appears to be a good match we'll reach out to schedule an initial call. If all goes well, we will proceed to 2-3 technical interviews. The final step in the process is an onsite interview in our New York office, where you will work through several more technical sessions focused around system design and architecture, meet the team and see how we work.

Apply