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Remote Tesla Robot Jobs in California (NOW HIRING)

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

All JobsTesla Robot JobsRemote Tesla Robot JobsRemote Tesla Robot Jobs in California

Remote Tesla Robot information

What is a Remote Tesla Robot?

A Remote Tesla Robot generally refers to a robotic system developed by Tesla, Inc. that can be operated remotely or autonomously for various tasks. These robots, such as Tesla's Optimus, are designed to assist with repetitive, dangerous, or mundane jobs in environments like factories or warehouses. The 'remote' aspect indicates they can be controlled or monitored from a distance, allowing operators to oversee or intervene without being physically present. Tesla aims to integrate advanced AI and robotics to improve safety, efficiency, and productivity in industries. The development of these robots is part of Tesla's broader vision for automation and artificial intelligence.

What are common challenges faced by remote Tesla robot operators, and how can they be addressed?

Remote Tesla Robot operators often encounter challenges such as maintaining seamless communication with on-site teams, troubleshooting technical issues from a distance, and adapting to rapidly evolving robotics technology. To address these challenges, operators should develop strong problem-solving skills, stay up-to-date with Tesla’s software updates, and actively participate in virtual team meetings. Building effective communication channels and regularly collaborating with engineers and support staff can help resolve issues efficiently and enhance overall performance.

What is the difference between Remote Tesla Robot vs Remote Automation Technician?

AspectRemote Tesla RobotRemote Automation Technician
Required CredentialsTechnical certifications, robotics or engineering backgroundTechnical certifications, electrical or mechanical engineering background
Work EnvironmentRemote, often involving software and hardware troubleshootingRemote or on-site, focusing on automation systems and machinery
Industry UsageAutomotive, robotics, AI developmentManufacturing, industrial automation, robotics

Remote Tesla Robots and Remote Automation Technicians share similar technical skills and certifications, often working remotely to troubleshoot and maintain automation systems. However, Tesla Robots are specifically associated with Tesla's AI and robotics projects, while Automation Technicians work across various industries implementing and servicing automation equipment. Both roles require technical expertise but differ slightly in industry focus and specific job functions.

What are the key skills and qualifications needed to thrive as a remote Tesla robot operator?

To excel as a Robotics Engineer working remotely on Tesla robots, you need a strong background in robotics, mechatronics, computer science, or electrical engineering, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with ROS (Robot Operating System), and proficiency in CAD tools are typically required. Excellent problem-solving, self-motivation, and strong communication skills are essential for collaborating effectively in a remote, multidisciplinary environment. These abilities ensure the successful design, development, and deployment of innovative robotic systems while meeting Tesla's high standards for quality and performance.
What are popular job titles related to Remote Tesla Robot jobs in California? For Remote Tesla Robot jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Tesla Robot jobs in California look for? The top searched job categories for Remote Tesla Robot jobs in California are:
What cities in California are hiring for Remote Tesla Robot jobs? Cities in California with the most Remote Tesla Robot job openings:
Remote Tesla Robot jobs near you
Infographic showing various Remote Tesla Robot job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Re-posted 29 days ago

Job description

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.

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.

What You Will Get To Do

  • Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows.

  • Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment.

  • Build tools and automation to support reproducible experiments, model versioning, and dataset management.

  • Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources.

  • Monitor model performance and system reliability across development and production environments.

  • Improve the efficiency, scalability, and reliability of ML workflows and infrastructure.

  • Work with cross-functional engineering teams to integrate ML components into robotics software systems.

What You Have

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

  • 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.

  • Strong programming skills in Python or similar languages.

  • Experience building and maintaining machine learning pipelines.

  • Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc.,

  • Solid understanding of Linux systems and distributed computing environments.

  • Experience with GPU workload scheduling and orchestration across multi-region cloud environments.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

What Will Set You Apart

  • Experience deploying and operating ML systems for robotics or real-world physical systems.

  • Experience with scaling AI, ML, and inference workloads on Kubernetes.

  • Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds)

  • Experience with experiment tracking, model versioning, or dataset versioning tools.

  • Experience optimizing ML pipelines for large-scale training and data processing.

  • Experience working closely with research or applied machine learning teams.

Compensation and Benefits
Our salary range is competitive with the market, 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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