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From Home Cuda Jobs (NOW HIRING)

LM Studio

Systems Engineer (C++)

New York, NY · On-site

$150K - $350K/yr

... Metal, CUDA, Vulkan) across macOS, Windows, and Linux. You will profile, debug, and tune the ... Flexible WFH * Sun drenched office in SoHo in Manhattan, NY Our Interview Process We are looking ...

LM Studio

Systems Engineer (C++)

New York, NY · On-site

$150K - $350K/yr

... Metal, CUDA, Vulkan) across macOS, Windows, and Linux. You will profile, debug, and tune the ... Flexible WFH * Sun drenched office in SoHo in Manhattan, NY Our Interview Process We are looking ...

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 · 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 ...

Bolt Graphics, Inc.

GPU Driver Developer

Sunnyvale, CA · On-site

$175 - $250/hr

Goodunderstanding ofmodern GPU APIs such as Vulkan, Metal, DirectX, CUDA, andSYCL * Strong ... Equity - Stock Options * 401(k) match * WFH Equipment Reimbursement * Generous Paid Time Off Bolt ...

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How much do from home cuda jobs pay per hour?

As of Aug 19, 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 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.

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 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 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.

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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 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $33,500 per year, or $16.1 per hour.

Research Engineer, Learnable Planner (Integration)

Waabi

Pittsburgh, PA • On-site, Remote

$159K - $296K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 23 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

The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.
 
You will...
- Integrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring
- Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models
- Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.
- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.
- Contribute to the publication of research findings in conferences as well as Waabi's blog.
 
Qualifications:
- MS/PhD in machine learning, computer science, engineering, or a related field. Exceptional Bachelor's students will also be considered.
- Experience in ML-based or classical techniques for planning/decision making (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning).
- Passion for taking research ideas and turning them into practical solutions for real-world applications.
- Open-minded and collaborative team player with willingness to help others.
- Solid understanding of computing fundamentals, including code efficiency.
- Experience in deep learning frameworks such as PyTorch.
- Proficiency in Python, Rust, C++ and/or CUDA.
 
Bonus/nice to have:
- Experience deploying ML/DL models to a production motion planning or related robotics stack.
- Experience in iterating on a model including evaluation, introspection and fine-tuning.
- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.
- Comfortable with model compilation and exporting, lower level concepts like TensorRT, CUDA kernels.
The US yearly salary range for this role is: $159,000 - $296,000 USD in addition to competitive perks & benefits. Waabi US Inc.'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:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- 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.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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