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Remote Gpu Engineer 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.

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131.50K - $173.40K/yr

Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131.50K - $173.40K/yr

Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Software Engineer, DevOps

Irvine, CA · On-site +1

$56.50 - $77.50/hr

Experience with MLOps, AI infrastructure, GPU workloads, or ML deployment pipelines. * Familiarity ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Software Engineer, DevOps

Irvine, CA · On-site +1

$56.50 - $77.50/hr

Experience with MLOps, AI infrastructure, GPU workloads, or ML deployment pipelines. * Familiarity ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Invoca

Senior ML Engineer

Anaheim, CA · On-site +1

$109.40K - $150.20K/yr

... GPU infrastructure. Profile and tune for low latency and high throughput, and build robust ... Familiarity with RLHF or preference training is a bonus 📍 Location This is a remote-first role.

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Remote Gpu Engineer information

See Riverside, CA salary details

$26

$55

$80

How much do remote gpu engineer jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote gpu engineer in Riverside, CA is $55.95, according to ZipRecruiter salary data. Most workers in this role earn between $45.14 and $64.95 per hour, depending on experience, location, and employer.

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

To thrive as a Remote GPU Engineer, you need strong expertise in GPU architectures, parallel programming (CUDA/OpenCL), and a solid background in computer science or engineering. Familiarity with tools like CUDA Toolkit, performance profilers, and version control systems, as well as experience with relevant certifications, is typically required. Excellent problem-solving abilities, communication skills, and the capacity to collaborate effectively in remote, distributed teams are standout soft skills. These competencies ensure efficient GPU solution development, effective troubleshooting, and seamless teamwork in a remote engineering environment.

What are some common challenges faced by Remote GPU Engineers when collaborating with distributed teams?

Remote GPU Engineers often work with global teams, which can present challenges such as coordinating across different time zones, ensuring consistent communication, and managing access to high-performance hardware remotely. To overcome these hurdles, it's important to leverage collaboration tools, maintain clear documentation, and establish regular check-ins. Additionally, using remote desktop solutions and cloud-based GPU environments can help facilitate smoother development and debugging processes.

What are Remote GPU Engineers?

Remote GPU Engineers are specialized software or hardware engineers who work primarily with Graphics Processing Units (GPUs) from a remote location. They focus on designing, optimizing, and maintaining GPU-based systems for applications such as machine learning, high-performance computing, and graphics rendering. These professionals often collaborate with teams virtually, leveraging cloud-based GPU resources and remote access tools. Their work enables companies to efficiently utilize GPU technology without requiring engineers to be on-site.
What are popular job titles related to Remote Gpu Engineer jobs in Riverside, CA? For Remote Gpu Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Gpu Engineer jobs in Riverside, CA look for? The top searched job categories for Remote Gpu Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Gpu Engineer jobs? Cities near Riverside, CA with the most Remote Gpu Engineer job openings:
Remote Gpu Engineer jobs near you
Infographic showing various Remote Gpu Engineer job openings in Riverside, CA as of May 2026, with employment types broken down into 58% Full Time, 38% Part Time, and 4% Contract. Highlights an 84% Physical, and 16% Remote job distribution, with an average salary of $116,379 per year, or $56 per hour.

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.