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Remote Mechanical Engineer Pharmaceutical 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 ...

A Bachelor's or Graduate Degree in Architecture or related Engineering Field (Civil, Mechanical ... this remote position is $85,000 to $110,000 per year. Base pay offered may be higher or lower ...

Assessment Property Condition Reviewer

Irvine, CA ยท On-site +1

$85K - $110K/yr

A Bachelor's or Graduate Degree in Architecture or related Engineering Field (Civil, Mechanical ... this remote position is $85,000 to $110,000 per year. Base pay offered may be higher or lower ...

Transportation Planner - Monterey Park, CA

Orange, CA ยท On-site

$73K - $87K/yr

S. engineering expertise with the global reach, technical excellence, and career opportunities of a ... Flexible work arrangements, including hybrid and remote opportunities where business needs allow

Showing results 21-34

Remote Mechanical Engineer Pharmaceutical information

See Riverside, CA salary details

$47.5K

$107.3K

$173.7K

How much do remote mechanical engineer pharmaceutical jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote mechanical engineer pharmaceutical 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 does a remote mechanical engineer do in the pharmaceutical industry?

A Remote Mechanical Engineer in the pharmaceutical industry designs, develops, and maintains mechanical systems and equipment used in the production of pharmaceutical products. They work on projects related to cleanrooms, HVAC systems, process machinery, and packaging equipment, ensuring compliance with industry regulations and safety standards. By working remotely, they collaborate with onsite teams using digital tools to provide technical guidance, troubleshoot issues, and support project implementation from a distance. This role requires strong problem-solving skills and a deep understanding of both mechanical engineering principles and pharmaceutical manufacturing processes.

How does a remote mechanical engineer in the pharmaceutical industry typically collaborate with onsite teams to manage equipment installation and maintenance?

Remote Mechanical Engineers in the pharmaceutical sector often use digital collaboration tools, video conferencing, and project management platforms to stay closely connected with onsite teams. They provide detailed equipment specifications, review installation plans, and troubleshoot maintenance issues virtually, ensuring compliance with industry regulations. Clear communication and regular virtual check-ins are key to successful coordination, and engineers may occasionally visit sites for critical milestones or inspections. This hybrid approach enables effective teamwork while maintaining flexibility in work location.

What are the key skills and qualifications needed to thrive as a remote mechanical engineer in the pharmaceutical industry, and why are they important?

To thrive as a Remote Mechanical Engineer in the pharmaceutical industry, you need a strong background in mechanical engineering, experience with pharmaceutical equipment, and a relevant engineering degree. Familiarity with CAD software, HVAC systems, GMP compliance, and project management tools is typically required, along with certifications like PE or Six Sigma being advantageous. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating across remote teams and ensuring regulatory adherence. These competencies are vital to design, optimize, and maintain critical pharmaceutical systems while meeting stringent industry standards and working effectively from a remote setting.

What is the difference between Remote Mechanical Engineer Pharmaceutical vs Remote Mechanical Engineer Medical Devices?

AspectRemote Mechanical Engineer PharmaceuticalRemote Mechanical Engineer Medical Devices
Required CredentialsBachelor's in Mechanical Engineering, relevant certificationsBachelor's in Mechanical Engineering, relevant certifications
Work EnvironmentPharmaceutical companies, labs, R&D centersMedical device manufacturers, labs, R&D centers
Industry UsageDeveloping drug delivery systems, equipment designDesigning medical devices, equipment testing
Search & Comparison IntentUnderstanding roles in pharma manufacturingComparing roles in medical device design

Remote Mechanical Engineer Pharmaceutical and Remote Mechanical Engineer Medical Devices share similar credentials and work environments. However, their focus differs: pharma roles concentrate on drug delivery systems, while medical device roles focus on designing and testing medical equipment. Both are vital in healthcare innovation, with overlapping skills but distinct industry applications.

What job categories do people searching Remote Mechanical Engineer Pharmaceutical jobs in Riverside, CA look for?

The top searched job categories for Remote Mechanical Engineer Pharmaceutical jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Mechanical Engineer Pharmaceutical jobs?

Cities near Riverside, CA with the most Remote Mechanical Engineer Pharmaceutical job openings:

Infographic showing various Remote Mechanical Engineer Pharmaceutical job openings in Riverside, CA as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $107,329 per year, or $51.6 per hour.

Robotics Autonomy Engineer-Planning and Control-Federal

FieldAI

Irvine, CA โ€ข On-site, Remote

$70K - $300K/yr

Full-time

Re-posted 14 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.ย 

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.ย  This team works on projects connected to the U.S. government which requires U.S. Person eligibility.ย  A U.S. Person as defined by 22 C.F.Rย  120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee.ย 
ย 
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.ย  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
ย 
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.
ย 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. Withย 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.
ย 
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.
ย 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.ย 
ย 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
ย 
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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