ZipRecruiter

Log In

2

Remote Cuda Developer Jobs in Riverside, CA (NOW HIRING)

FieldAI

Robotics Autonomy Engineer: Simulation

Irvine, CA · On-site +1

$70K - $300K/yr

Experience with GPU programming (CUDA, PyTorch) or machine learning for robotics . * Background in ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Robotics Autonomy Engineer: Simulation

Irvine, CA · On-site +1

$70K - $300K/yr

Experience with GPU programming (CUDA, PyTorch) or machine learning for robotics . * Background in ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

People also search for

All JobsRemote Cuda Developer JobsRemote Cuda Developer Jobs in Riverside, CA

Remote Cuda Developer information

See Riverside, CA salary details

$87.1K

$106.9K

$141.4K

How much do remote cuda developer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote cuda developer in Riverside, CA is $106,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $120,000.00 per year, depending on experience, location, and employer.

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.

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 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.

What are popular job titles related to Remote Cuda Developer jobs in Riverside, CA? For Remote Cuda Developer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Cuda Developer jobs in Riverside, CA look for? The top searched job categories for Remote Cuda Developer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Cuda Developer jobs? Cities near Riverside, CA with the most Remote Cuda Developer job openings:
Remote Cuda Developer jobs near you

Robotics Autonomy Engineer: Simulation

FieldAI

Irvine, CA • On-site, Remote

$70K - $300K/yr

Full-time

Posted 15 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Are you passionate about robotics and software engineering? Do you thrive on creating robust algorithms and deploying cutting-edge autonomous systems in real-world scenarios? We are looking for a Robotics Full Stack Simulation Engineer to join our dynamic team. In this role, you will develop, implement, and maintain state-of-the-art autonomy software stacks, ensuring our robots navigate and perform tasks seamlessly in challenging environments. This is your chance to shape the future of robotics and work alongside a team that values innovation, hands-on expertise, and impact-driven results. If you’re a software-savvy robotics enthusiast eager to take on exciting challenges and make a tangible difference, this is the opportunity for you!
What You'll Get To Do
  • Develop and integrate autonomy stacks (perception, planning, control) across simulation and real-world deployments.
  • Build real-to-sim pipelines using 3D reconstruction (NeRF, Gaussian Splatting, photogrammetry) for realistic sensor and environment modeling.
  • Deploy high-fidelity simulation workflows (Isaac Sim, Gazebo, ROS2) to validate autonomy algorithms.
  • Collaborate with hardware teams to bring robots from lab to field — from system modeling to real-world testing.
 
What You Have
  • Bachelor’s or Master’s in Robotics, Computer Science, Electrical Engineering, or related field.
  • 2+ years of experience in robotics software development.
  • Strong skills in Python, C++, and familiarity with ROS2.
  • Hands-on experience in robotics simulation and field deployment.
  • Understanding of autonomy modules — localization, perception, planning, and control.
  • Experience with 3D reconstruction or domain adaptation is a plus.
What Will Set You Apart
  • Experience with GPU programming (CUDA, PyTorch) or machine learning for robotics.
  • Background in off-road / outdoor robotics or industrial settings.
  • Familiarity with safety standards or real-time middleware.
Why Join
  • Work at the frontier of autonomy — bridging the gap between simulation and reality.
  • Build systems that go from digital twin to deployed robots in challenging real-world environments.
  • Collaborate with a world-class, hands-on team focused on delivering real autonomy.
Compensation and Benefits
Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Why Join Field AI?
We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!



We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

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.