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Remote Amazon Robotics Jobs in Anaheim, CA (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 JobsAmazon Robotics JobsRemote Amazon Robotics JobsRemote Amazon Robotics Jobs in Anaheim, CA

Remote Amazon Robotics information

See Anaheim, CA salary details

$62.8K

$130.4K

$187.4K

How much do remote amazon robotics jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote amazon robotics in Anaheim, CA is $130,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $159,100.00 per year, depending on experience, location, and employer.

What is a remote Amazon Robotics?

A Remote Amazon Robotics job involves working with Amazon's robotics technology from a location outside of Amazon facilities, typically from home. These roles may include software development, systems engineering, support, or project management, all focused on enhancing and maintaining the robotics systems used in Amazon warehouses. Employees in these positions collaborate with onsite teams to design, optimize, and troubleshoot robotic solutions that improve efficiency and safety. Remote roles allow professionals to contribute to cutting-edge automation technology without needing to relocate or work onsite.

What is the difference between Remote Amazon Robotics vs Remote Warehouse Associate?

AspectRemote Amazon RoboticsRemote Warehouse Associate
Required CredentialsTechnical certifications, robotics trainingHigh school diploma or equivalent
Work EnvironmentRemote, technical, robotics-focusedRemote, logistics and inventory management
Employer & Industry UsageAmazon, robotics and automation industryAmazon, warehousing and logistics industry
Common Search & ComparisonYesYes

Remote Amazon Robotics roles focus on developing, maintaining, and operating robotics systems remotely, requiring technical skills and certifications. In contrast, Remote Warehouse Associates handle inventory and logistics tasks remotely, often with less technical training. Both roles are employed by Amazon and serve the logistics industry, but they differ significantly in skill requirements and job functions.

How do remote Amazon Robotics team members typically collaborate with on-site engineers and operations staff?

Remote Amazon Robotics professionals regularly use digital communication tools such as Slack, video conferencing, and project management platforms to collaborate with on-site engineers and operations teams. They participate in virtual stand-up meetings, code reviews, and cross-functional planning sessions to ensure alignment on project goals and timelines. Despite working remotely, team members are expected to be proactive in communication and problem-solving, often coordinating with colleagues across different time zones and departments. This collaborative approach helps maintain a seamless workflow and drives innovation within Amazon's robotics initiatives.

What are the key skills and qualifications needed to thrive as a remote Amazon Robotics specialist, and why are they important?

To thrive as a Remote Amazon Robotics Specialist, you typically need a strong background in robotics, mechanical or electrical engineering, and problem-solving, often supported by a relevant degree or equivalent experience. Familiarity with robotics software (such as ROS), programming languages (like Python or C++), and remote monitoring systems is essential, alongside possible certifications in automation or robotics. Excellent communication, analytical thinking, and the ability to work independently are standout soft skills in this role. These competencies ensure efficient remote troubleshooting, smooth robotic operations, and effective collaboration across distributed teams.

What are the most commonly searched types of Amazon Robotics jobs in Anaheim, CA?

The most popular types of Amazon Robotics jobs in Anaheim, CA are:

What job categories do people searching Remote Amazon Robotics jobs in Anaheim, CA look for?

The top searched job categories for Remote Amazon Robotics jobs in Anaheim, CA are:

What cities near Anaheim, CA are hiring for Remote Amazon Robotics jobs?

Cities near Anaheim, CA with the most Remote Amazon Robotics job openings:

Remote Amazon Robotics jobs near you
Infographic showing various Remote Amazon Robotics job openings in Anaheim, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $130,364 per year, or $62.7 per hour.

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Re-posted 3 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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