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Remote Gpu Engineer Jobs in Riverside, CA (NOW HIRING)

Field AI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/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

$131K - $173K/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

$131K - $173K/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

$131K - $173K/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.

Invoca

Senior ML Engineer

Anaheim, CA · On-site +1

$109K - $150K/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.

All JobsRemote Gpu Engineer JobsRemote Gpu Engineer Jobs in Riverside, CA

Remote Gpu Engineer information

See Riverside, CA salary details

$26

$55

$80

How much do remote gpu engineer jobs pay per hour?

As of Jun 21, 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 engineer makes $500,000 a year?

A senior GPU engineer or hardware engineer with extensive experience in graphics processing units, often working in leading tech companies or specialized hardware firms, can earn $500,000 or more annually. High compensation typically includes base salary, bonuses, and stock options, especially for those with advanced skills in hardware design, performance optimization, and deep knowledge of GPU architectures.

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.

How can I make 2000 a week working from home?

A remote GPU engineer can earn $2,000 or more weekly by working on high-demand projects such as AI, machine learning, or rendering, often requiring advanced skills in GPU programming, deep learning frameworks, and experience with tools like CUDA or TensorFlow. Achieving this income typically involves freelance contracts, consulting, or full-time roles with competitive pay, and may require specialized certifications or a strong portfolio. Consistent high performance and building a reputation in the industry can help secure higher-paying opportunities.

What engineers make $300,000 a year?

Senior GPU engineers, machine learning engineers, and software engineers with specialized skills in graphics processing, deep learning, or high-performance computing can earn $300,000 or more annually, especially with experience, advanced certifications, and working in high-demand industries like AI, gaming, or data centers. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups.

How can I make $100,000 a year working from home?

A remote GPU engineer can reach a $100,000 annual salary by gaining specialized skills in GPU programming, deep learning, or high-performance computing, and obtaining relevant certifications. Building a strong portfolio, gaining experience with tools like CUDA or TensorFlow, and working for companies that offer remote positions with competitive pay are key factors.

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 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.
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Remote Gpu Engineer jobs near you

1.5 Robotics AI Engineer - Field Foundation Models & Dynamics Foundation Models

FieldAI

Irvine, CA • On-site, Remote

$70K - $300K/yr

Full-time

Posted 4 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 driven by the challenge of building next-generation AI-powered robotics? Do you thrive at the intersection of advanced autonomy, real-world deployment, and AI-native decision-making? We are seeking a Robotics AI Engineer - Field Foundation Models & Dynamics Foundation Models to push the boundaries of risk-aware, self-evolving robotic intelligence. In this role, you will design, develop, and implement cutting-edge AI-driven planning and control architectures, ensuring our robots operate seamlessly in unstructured, high-stakes environments. This is your opportunity to redefine the future of embodied AI, working alongside a world-class team that values bold innovation, hands-on execution, and AI-first engineering. If you're eager to build autonomy that adapts, learns, and makes decisions with intelligence beyond traditional models, we want to hear from you!
What You Will Get To Do
  • Algorithm Development
  • Design and implement next-generation AI-powered Field Foundation Models (FFMs) and Dynamics Foundation Models (DFMs). Pioneer risk-aware, uncertainty-driven decision-making architectures that enable autonomous robots to navigate unstructured, high-stakes environments.
  • Reimagine planning algorithms, trajectory optimization, and task scheduling as a fusion of probabilistic reasoning, geometric intelligence, and adaptive AI, ensuring precise and reliable robot motion in dynamic environments.
 
  • Software Integration and Testing
  • Work extensively with ROS (Robot Operating System) to develop, test, and integrate next-gen autonomous intelligence modules modules.
  • Design, implement, and test real-world and simulation- learning loops, where self-evolving models refine planning, control, and perception through real-world interaction. Conduct field tests to validate performance and optimize system behavior.
 
  • Hands-On Robotics Deployment
  • Collaborate with hardware teams to ensure seamless software-hardware integration.
  • Travel to customer sites to deploy, calibrate, and fine-tune robotic systems in diverse and challenging real-world conditions.
 
  • Cross-Team Collaboration
  • Work closely with other engineering teams to align development efforts and achieve cohesive system performanc
  • Communicate effectively with non-technical stakeholders to explain robotic capabilities and project progress.
What You Have
  • Strong programming skills: Proficiency in Python and C++ for algorithm development and system integration. 
  • Proficiency in ROS (Robot Operating System): Experience developing and integrating robotic software solutions.
  • Hands-On Robotics Experience: Practical experience working with autonomous robotic systems, including testing and deployment in the field.
  • Understanding of Planning and Controls: Solid knowledge of path planning, control theory, and trajectory optimization.
  • Ability and availability to travel: Ability and eagerness to travel to customer sites for deployments, testing, and troubleshooting (up to 30% travel).
  • Excellent Communication Skills: Ability to convey complex technical concepts clearly to diverse audiences.
What Will Set You Apart
  • Experience with GPU programming (CUDA C++, PyTorch) a significant plus.
  • Experience with real-time systems or robotics middleware.
  • Familiarity with sensor integration and perception algorithms.
  • Knowledge of machine learning techniques applied to robotics.
  • Exposure to industrial robotics applications in sectors like construction, mining, or manufacturing.
  • Experience working in harsh or outdoor environments.
  • Experience working with humanoid or legged robots.
  • Advanced degree (Bachelors, Master's) in Robotics, Computer Science, Electrical Engineering, or a related field.
  • Understanding of safety standards and compliance in robotics.
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 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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