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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 · 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 Compiler Lead

Sunnyvale, CA · On-site

$175K - $250K/yr

Deep understanding of parallel programming languages for GPUs (Vulkan, DirectX, CUDA, Metal, OpenCL ... Equity - Stock Options * 401(k) match * WFH Hardware * Generous Paid Time Off Bolt is committed to ...

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How much do from home cuda jobs pay per hour?

As of Jun 12, 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 are the key skills and qualifications needed to thrive as a CUDA Developer, and why are they important?

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 some 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 are From Home CUDA jobs?

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 June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $33,500 per year, or $16.1 per hour.

Senior / Staff ML Onboard Optimization Engineer

Waabi

Phoenix, AZ • On-site, Remote

$141K - $249K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 24 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will...
- Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.
- Expand the model deployment pipeline to new GPUs and embedded systems for the next generation of our onboard compute system.
- Use frameworks such as TensorRT and modelopt to optimize the models running on the truck.
- Create and benchmark new CUDA kernels for inference.
- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.
 
Qualifications:
- MS/PhD or Bachelors degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
- Experience in deep learning frameworks such as PyTorch.
- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.
- Experience with Nvidia embedded platforms such as Nvidia Jetson or Thor.
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Bonus/nice to have:
- Experience in model compilation and exporting, interaction with lower level concepts like TensorRT.
- Experience in identifying when custom CUDA kernels are needed, and implementing them.
- Experience in Bazel build systems, and integrating third party packages into dev environments.
The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi's yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
Waabi provides a competitive benefits package that includes:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)
- As we grow, this list continues to evolve! 

Waabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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