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Remote Oil Rig Mechanical Engineer Jobs in Riverside, CA

If remote, candidates should be located near a major metro area. This role is contributing to the ... Bachelor's Degree in Engineering required, preferably Electrical or Mechanical Engineering, MBA ...

If remote, candidates should be located near a major metro area. This role is contributing to the ... Bachelor's Degree in Engineering required, preferably Electrical or Mechanical Engineering, MBA ...

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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Remote Oil Rig Mechanical Engineer information

See Riverside, CA salary details

$47.5K

$107.3K

$173.7K

How much do remote oil rig mechanical engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for remote oil rig mechanical engineer 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.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, especially with experience, advanced skills, and bonuses. High compensation often involves leadership roles, extensive expertise, and working in high-demand industries or companies.

How much does a mechanical engineer on an oil rig make?

A remote oil rig mechanical engineer typically earns between $80,000 and $150,000 annually, depending on experience, certifications, and location. Offshore roles often include additional pay for hazardous work environments and extended shifts. Salaries can vary based on company, project scope, and required skills such as equipment maintenance and safety protocols.

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

To thrive as a Remote Oil Rig Mechanical Engineer, you need a solid background in mechanical engineering, problem-solving skills, and a relevant engineering degree along with certifications such as Professional Engineer (PE) or equivalent. Familiarity with industry-specific software like AutoCAD, CMMS platforms, and knowledge of safety and compliance standards is typically required. Strong communication, teamwork, and adaptability are crucial for coordinating with on-site teams and troubleshooting issues from a distance. These skills ensure the safe, efficient, and reliable operation of mechanical equipment on oil rigs, minimizing downtime and maintaining regulatory compliance.

What does a Remote Oil Rig Mechanical Engineer do?

A Remote Oil Rig Mechanical Engineer is responsible for designing, maintaining, and troubleshooting mechanical systems and equipment used on offshore oil rigs. They ensure that machinery such as pumps, engines, and drilling equipment operate efficiently and safely, often coordinating repairs and upgrades remotely from onshore locations using digital monitoring tools. Their role also involves collaborating with rig personnel to implement preventative maintenance schedules and quickly address any technical issues that may arise. This position requires strong analytical skills, knowledge of mechanical engineering principles, and experience with remote monitoring technologies.

What is the difference between Remote Oil Rig Mechanical Engineer vs Offshore Oil Rig Mechanical Technician?

AspectRemote Oil Rig Mechanical EngineerOffshore Oil Rig Mechanical Technician
CredentialsBachelor's in Mechanical Engineering, relevant certificationsTechnical diploma or certification in mechanical maintenance
Work EnvironmentRemote or onshore office, occasional site visitsOn-site at offshore rigs, physically present for maintenance
Job FocusDesign, analysis, troubleshooting of mechanical systemsRoutine maintenance, repairs, and equipment operation
Industry UsageUsed by engineering firms and oil companies for planning and oversightHands-on work directly on offshore rigs

The main difference is that Remote Oil Rig Mechanical Engineers focus on design, analysis, and oversight from a remote or onshore location, while Offshore Oil Rig Mechanical Technicians perform hands-on maintenance and repairs directly on offshore rigs. Both roles require technical knowledge, but their work environments and responsibilities differ significantly.

How do Remote Oil Rig Mechanical Engineers typically collaborate with on-site teams to ensure equipment reliability and safety?

Remote Oil Rig Mechanical Engineers frequently use digital communication tools, such as video conferencing and real-time monitoring software, to collaborate with on-site personnel. They provide expertise in troubleshooting mechanical issues, guide maintenance procedures, and review performance data to recommend preventive actions. Effective collaboration requires clear documentation, regular virtual meetings, and sometimes remote access to control systems to ensure equipment reliability and uphold safety standards on the rig. Building strong relationships and maintaining open communication with on-site staff are key to overcoming the challenges of working remotely.

Can a mechanical engineer work in an oil rig?

Yes, a mechanical engineer can work on an oil rig, often focusing on equipment design, maintenance, and safety systems. They typically need specialized knowledge of offshore environments, safety protocols, and relevant certifications such as BOSIET or HUET. Mechanical engineers are essential for ensuring the proper functioning and integrity of rig machinery and structures.

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

Remote oil rig mechanical engineers can potentially earn $200,000 or more annually, especially with extensive experience, specialized skills, and working in high-demand environments. However, such salaries are typically achieved through senior roles, overtime, or bonuses, and may require certifications and working in remote or offshore settings with challenging schedules.
What are the most commonly searched types of Oil Rig Mechanical Engineer jobs in Riverside, CA? The most popular types of Oil Rig Mechanical Engineer jobs in Riverside, CA are:
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Robotics Autonomy Engineer-Planning and Control-Federal

FieldAI

Irvine, CA • On-site, Remote

$70K - $300K/yr

Full-time

Posted 23 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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