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Remote Mechanical Engineering Jobs in Riverside, CA

Lumimeds

Head of Performance Creative

Calimesa, CA · Remote

We are a remote-first, globally distributed team that values clarity, accountability, and people ... You don't need to be a developer, but you should be able to mock up or wireframe a better page

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All JobsRemote Mechanical Engineering JobsRemote Mechanical Engineering Jobs in Riverside, CA

Remote Mechanical Engineering information

See Riverside, CA salary details

$47.5K

$107.3K

$173.7K

How much do remote mechanical engineering jobs pay per year?

As of Jul 3, 2026, the average yearly pay for remote mechanical engineering in Riverside, CA is $107,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $132,000.00 per year, depending on experience, location, and employer.

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

Remote mechanical engineers can reach a $100,000 annual salary by gaining specialized skills in CAD software, simulation tools, and project management, often requiring a bachelor's degree and relevant certifications. Building experience through complex projects, working for reputable companies, and negotiating compensation are key factors in achieving this income level while working remotely.

Can you make $200,000 a year as a mechanical engineer?

Earning $200,000 annually as a mechanical engineer is possible but typically requires extensive experience, advanced skills, and working in high-paying industries such as aerospace, energy, or specialized consulting. Senior-level engineers with managerial responsibilities or specialized certifications may reach this salary level, especially in regions with high living costs or competitive markets.

What engineers make $500,000?

Senior mechanical engineers with extensive experience, specialized skills, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large corporations. Achieving this level often requires advanced degrees, certifications, and a track record of significant project management or innovation.

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

To excel as a Remote Mechanical Engineer, you need a solid background in mechanical design, analysis, and problem-solving, typically backed by a relevant engineering degree and, in some cases, a Professional Engineer (PE) license. Familiarity with CAD software (such as SolidWorks or AutoCAD), simulation tools (like ANSYS), and collaborative project management systems is crucial. Strong communication, self-motivation, and time management skills help remote engineers effectively coordinate with distributed teams and manage independent tasks. These abilities are vital for delivering high-quality engineering solutions, meeting deadlines, and maintaining productivity in a remote work environment.

What is remote mechanical engineering?

Remote mechanical engineering involves performing mechanical engineering tasks such as designing, analyzing, and testing mechanical systems from a location outside of a traditional office or job site. Remote mechanical engineers use computer-aided design (CAD) software, simulation tools, and collaboration platforms to communicate with teams and manage projects online. This arrangement allows for flexibility and can enable engineers to work with companies and clients around the world. Remote work in this field is increasingly popular due to advancements in technology and the ability to securely share and analyze complex data online.

Can a mechanical engineer work remotely?

Yes, many mechanical engineers can work remotely, especially in roles involving design, analysis, and simulation using CAD software and other digital tools. However, some positions requiring on-site testing, manufacturing, or equipment maintenance may require physical presence. Remote work opportunities depend on the employer, project requirements, and the engineer's skills with collaboration tools and virtual communication platforms.

How do remote mechanical engineers typically collaborate with on-site teams and manage hands-on project components?

Remote mechanical engineers often rely on a mix of digital collaboration tools, such as CAD software, video conferencing, and project management platforms, to stay connected with on-site teams. While most design and analysis tasks can be completed remotely, they may coordinate closely with local engineers or technicians for tasks that require physical presence, such as prototyping or testing. Clear communication and regular status updates are essential to ensure project goals are met and any issues are addressed promptly. Building strong relationships with on-site team members helps bridge gaps and facilitates smooth project execution.

What is the difference between Remote Mechanical Engineering vs Remote Mechanical Design Engineer?

AspectRemote Mechanical EngineeringRemote Mechanical Design Engineer
CredentialsBachelor's or higher in Mechanical Engineering, PE license (optional)Bachelor's or higher in Mechanical Engineering or Design, CAD certifications
Work EnvironmentDesign, analysis, testing, project managementCAD modeling, product design, prototyping
Industry UsageManufacturing, aerospace, automotive, energyConsumer products, industrial equipment, automotive
Search & Comparison IntentFocus on engineering roles involving analysis and systemsFocus on design, CAD work, and product development

Remote Mechanical Engineering involves a broad range of engineering tasks such as analysis, testing, and project management, often requiring a degree in Mechanical Engineering. Remote Mechanical Design Engineers primarily focus on CAD modeling, product design, and prototyping, with skills in CAD software. Both roles are common in manufacturing and engineering industries, but they emphasize different aspects of the product development process.

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

Robotics Autonomy Engineer-Planning and Control-Federal

FieldAI

Irvine, CA • On-site, Remote

$70K - $300K/yr

Full-time

Posted 24 days ago

Job description

Who are We?

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.

Learn more at https://fieldai.com.

About the Job

Field AI is building the future of autonomy, from rugged terrain to real-world deployment. We are on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. 

As our Robotics Autonomy Engineer - Planning and Control, you will design, implement, and deploy advanced motion planning and control algorithms that enable our robots to move with precision, robustness, and efficiency across diverse environments. You will work on navigation, trajectory generation, and motion control for robotic platforms ranging from wheeled and legged systems to complex humanoid architectures. If enabling robots to navigate challenging, dynamic environments excites you, and you want to work where your code works in the physical world - this is your role. This is Field AI.

What You'll Get To Do

1. Develop Robust Motion Planning Algorithms

  • Design, develop, and refine motion and navigation planning algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and complex environments.

  • Design optimization-driven approaches for path and trajectory generation that ensure smooth, reliable, and efficient robot navigation across modalities.

  • Ensure scalability, reusability, and adaptability of planning approaches across diverse deployment contexts.

2. Advance Control and Planning Integration

  • Develop and tune control algorithms that ensure precise trajectory tracking and stable operation across different robotic systems.

  • Collaborate across autonomy layers to ensure seamless coordination between perception, planning, and control for robust real-world performance.

3. Validate and Test Across the Stack

  • Build and maintain testing pipelines from unit-level validation to full robot deployment.

  • Utilize simulation and testing environments for algorithm evaluation, benchmarking, and regression validation.

  • Analyze real-world telemetry to diagnose issues, identify improvements, and enhance algorithm robustness.

4. Diagnose and Improve Field Performance

  • Investigate and resolve issues arising from field deployments through structured data analysis and debugging.

  • Deliver targeted improvements that address specific challenges while maintaining general-case reliability and performance.

What You Have

  • Master's degree or higher in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field (PhD a plus).

  • Strong understanding of motion planning, trajectory generation, and control systems.

  • Experience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid).

  • Familiarity with motion planning libraries like OMPL, MoveIt, Nav2 stack etc

  • Solid programming skills in C++ and Python on Linux-based systems.

  • Familiarity with robotics middleware such as ROS/ROS 2.

  • Experience with robot sensors including LiDARs, stereo/depth cameras, IMUs, GPS, wheel encoders.

  • Ability to work on US government project

The Extras That Set You Apart

  • Exposure to real-world deployment of autonomous systems.

  • Background in optimization, control, or numerical methods for trajectory planning.

  • Familiarity with learning-based or hybrid planning approaches.

  • Contributions to open-source planning or control frameworks.

  • Familiarity with safety-critical autonomy and industrial robotics use cases.

$70,000 - $300,000 a year
This position is for our FieldAI Federal Team.  This team works on projects connected to the U.S. government which requires U.S. Person eligibility.  A U.S. Person as defined by 22 C.F.R  120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. 
 
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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