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Remote Ai Robotics Jobs in California (NOW HIRING)

Lead Engineer

San Mateo, CA · Remote

$116K - $153K/yr

Company Description PatternAI is an automated ML/AI platform that reveals critical patterns in data ... robot that can do extraordinary things for business users. We've built an early version of this ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

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 ...

Lead Engineer

San Mateo, CA · On-site +1

$116K - $153K/yr

Company Description PatternAI is an automated ML/AI platform that reveals critical patterns in data ... robot that can do extraordinary things for business users. We've built an early version of this ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

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 ...

Technical Product Manager, AI

Centennial, CO · On-site +1

$100K - $138K/yr

... NE Remote or Hybrid is not available. Target Range: $100,000.00/Yr. - $138,000.00/Yr. Actual ... Deep understanding of Salesforce, Contact Center AI, and Robotic Process Automation (RPA), ...

Technical Support Engineer

San Francisco, CA · On-site +1

$100K - $160K/yr

... AI-based autonomous industrial robotic solutions. If you thrive on dynamic challenges, have a knack ... Remote work is not an option. * The position is available immediately. We may use artificial ...

Technical Support Engineer

San Francisco, CA · On-site +1

$100K - $160K/yr

... AI-based autonomous industrial robotic solutions. If you thrive on dynamic challenges, have a knack ... Remote work is not an option. * The position is available immediately. We may use artificial ...

They are fully remote and growing fast. How long has the company been operating? 2017 Total company ... Stay close to the evolving autonomy, robotics, synthetic data, and AI infrastructure markets, using ...

They are fully remote and growing fast. How long has the company been operating? 2017 Total company ... Stay close to the evolving autonomy, robotics, synthetic data, and AI infrastructure markets, using ...

Showing results 41-60

Remote Ai Robotics information

What is a remote AI robotics?

A Remote AI Robotics job involves working with artificial intelligence and robotics technologies from a remote location, rather than on-site. Professionals in this field design, develop, program, and manage robotic systems that use AI to perform tasks autonomously or semi-autonomously. These roles often require expertise in machine learning, computer vision, robotics engineering, and software development. Remote positions allow for collaboration with teams and clients across the globe, leveraging digital tools for communication and project management.

What are the key skills and qualifications needed to thrive as a remote AI robotics engineer?

To thrive as a Remote AI Robotics Engineer, you need strong skills in robotics engineering, artificial intelligence, programming (such as Python or C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics simulation tools (like ROS, Gazebo), machine learning frameworks (such as TensorFlow or PyTorch), and cloud-based collaboration platforms is essential. Excellent problem-solving abilities, effective communication, and self-motivation are important soft skills, especially when working remotely. These skills and qualities enable efficient development, troubleshooting, and innovation in building intelligent robotic systems from distributed locations.

What are some common challenges faced by professionals working in remote AI robotics roles, and how can they be addressed?

Professionals in remote AI robotics roles often face challenges such as effective communication with distributed teams, managing hardware remotely, and ensuring reliable data transmission between systems. Overcoming these challenges typically involves adopting robust collaboration tools, implementing clear documentation practices, and using remote monitoring software to manage and troubleshoot robotic systems. Regular virtual meetings and clear protocols also help maintain alignment and productivity, while ongoing training ensures team members stay updated on the latest technologies and best practices in both AI and robotics.

What is the difference between Remote Ai Robotics vs Remote Machine Learning Engineer?

AspectRemote Ai RoboticsRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Robotics, AI, or related fields; experience with robotics platformsBachelor's or higher in Computer Science, AI, or related; strong programming skills in Python
Work EnvironmentHands-on with robotics hardware, simulation, and software developmentFocus on developing algorithms, models, and data analysis in software environments
Industry UsageRobotics companies, automation firms, research labsTech companies, startups, research institutions
Common Search/ComparisonRemote Ai Robotics vs Remote Machine Learning Engineer

Remote Ai Robotics involves working with physical robots and hardware integration, while Remote Machine Learning Engineers focus on developing algorithms and models in software. Both roles require strong programming skills and a background in AI, but they differ in their work environment and industry applications.

What are the most commonly searched types of Ai Robotics jobs in California?

The most popular types of Ai Robotics jobs in California are:

What job categories do people searching Remote Ai Robotics jobs in California look for?

The top searched job categories for Remote Ai Robotics jobs in California are:

What cities in California are hiring for Remote Ai Robotics jobs?

Cities in California with the most Remote Ai Robotics job openings:

Infographic showing various Remote Ai Robotics job openings in California as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 100% Remote job distribution.

Principal AI / ML Engineer - Embodied AI

General Motors

Mountain View, CA • Remote

$296K - $453K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,290 frontline employees who took The Breakroom Quiz


Job description

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt.We'returningtoday'simpossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of peopleas we aim to makedriving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role:

As a Principal Technical Lead in the Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced ML models to reliably and safely navigate diverse real-world scenarios and conditions. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard ML capabilities.

What You'll Do:

  • Design and implement technologies that align our models to GM's mission.

  • Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, guidance, and selection to raise the performance of our models and provide a layer safety and reliability.

  • Collaborate with cross-functional teams to integrate & align distillation recipes of foundation models for onboard driving models.

  • Conduct research and stay updated on the latest advancements in AI frameworks and libraries.

  • Lead projects from ideation to deployment, documenting learnings and best practices along the way.

  • Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement.

Your Skills & Abilities:

  • Bachelor's, Master's or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field.

  • Proven experience working with large-scale Foundation Models and alignment methods to translate research into real-world impact.

  • Proven experience delivering applied research in the wild and maintaining best practices while working on tight deadlines.

  • Proficiency in frameworks such as PyTorch and languages such as python.

  • Proven experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams.

  • Strong data processing skills using tools like Numpy, Pandas, and Apache Spark.

  • Excellent communication skills to effectively collaborate with diverse teams and stakeholders.

  • Experience deploying foundation models into production environments and understanding the end-to-end process.

  • Previous experience in Robotics or Autonomous Driving.

Remote:This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren,Milfordor Mountain View, you are expected to report to that location three timesperweek, at minimum.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not berepresentative for positionslocatedoutside of the California Bay Area.

  • The salary range for this role is $296,300.00 to $453,900.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

  • Bonus Potential: An incentivepayprogram offers payouts based on company performance, job level, and individual performance.

Benefits:

  • Benefits: GM offers a variety of health and wellbeing benefit programs.Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.

This job may be eligible forrelocationbenefits.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible toparticipatein a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participantsare required topurchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

#GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908