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Remote Engineer Toyota Jobs (NOW HIRING)

FieldAI

Robotics Autonomy Engineer - Planning

Irvine, CA · On-site +1

$100K - $200K/yr

Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option ... Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the ...

The Dyrt

React/React-Native Developer (Fully Remote)

$20 - $48/hr

Our engineering team uses Claude Code heavily for day-to-day development, and we expect you to be ... The Dyrt works with companies like Toyota, T-mobile, Nature Bakery, and Smartwool, to help campers ...

Itransition

Dynamics 365 Project Manager (F&SCM)

Strong leadership skills with the ability to manage remote, cross-functional and multi-national ... Coordinate cross-functional teams including functional consultants, developers, and architects

Cerence

Sr. Principal Software Engineer

$185K - $280K/yr

... Audi, Toyota and many more), mobility providers, and technology companies to power intuitive ... Remote and/or hybrid work available depending on the position All compensation and benefits are ...

The Dyrt

Senior Sales Executive (Fully Remote)

Collaborate with growth marketing, creative, and engineering teams to create customized advertising ... The Dyrt works with companies like Toyota, Nature Bakery, Danner and Smartwool, to help campers ...

Outsystems

Lead Platform Operations Expert - AI

$131K - $160K/yr

Lead the transition from manual platform maintenance to Autonomous Platform Engineering, utilizing ... as Toyota, Heineken, Bosch, KeyBank, and UCLA-who trust OutSystems to deliver ROI and ...

Parallel Domain

Product Manager

San Francisco, CA · Remote

... Toyota Ventures, and others. Their team includes engineers from Waymo, Cruise, Apple, NVIDIA, and Google. They are fully remote and growing fast. How long has the company been operating? 2017 Total ...

Parallel Domain

Product Manager

San Francisco, CA · On-site +1

... Toyota Ventures, and others. Their team includes engineers from Waymo, Cruise, Apple, NVIDIA, and Google. They are fully remote and growing fast. How long has the company been operating? 2017 Total ...

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How much do remote engineer toyota jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote engineer toyota in the United States is $96,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $110,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Engineer Toyota vs Remote Software Developer?

AspectRemote Engineer ToyotaRemote Software Developer
Required CredentialsBachelor's in Engineering, Toyota-specific certificationsBachelor's in Computer Science or related, coding certifications
Work EnvironmentAutomotive industry, Toyota facilities, remote collaborationTech industry, various companies, remote teams
Employer & Industry UsagePrimarily Toyota, automotive manufacturingVarious tech companies, software development
Common Search & Comparison IntentUnderstanding roles in automotive engineeringComparing software development roles

The main difference between a Remote Engineer Toyota and a Remote Software Developer lies in industry focus and required credentials. The Toyota engineer specializes in automotive engineering within Toyota, often requiring industry-specific certifications, while the software developer works across various industries, focusing on coding skills. Both roles involve remote collaboration but serve different sectors and skill sets.

Does Toyota do remote work?

Toyota offers remote work options for certain roles, including engineering positions, depending on the department and location. Many remote opportunities require strong communication skills and familiarity with collaboration tools like Microsoft Teams or Zoom. Availability of remote work varies by position and region, so candidates should review specific job postings for details.
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Infographic showing various Remote Engineer Toyota job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $96,970 per year, or $46.6 per hour.

Robotics Autonomy Engineer - Planning

Irvine, CA • On-site, Remote

FieldAI
201 - 500 employees
Learn more about FieldAIexternal

$100K - $200K/yr

Full-time

Re-posted 7 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, 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.

Compensation and Benefits
Our salary range is between ($100,000 - $200,000 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.