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Remote Linux Jobs in Corona, CA (NOW HIRING)

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Solid understanding of Linux systems and distributed computing environments. * Experience with GPU ... 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

Solid understanding of Linux systems and distributed computing environments. * Experience with GPU ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Comcast

Sr. Backend Engineer - Xumo

Irvine, CA · Remote

$141K - $189K/yr

Position is office based in Irvine, CA or Philadelphia, PA,- 4 days on-site & 1 day remote. Java ... working with Linux-based operation system (CentOS, OSX) * Strong experience developing ...

Comcast

Sr. Backend Engineer - Xumo

Irvine, CA · Remote

Position is office based in Irvine, CA or Philadelphia, PA,- 4 days on-site & 1 day remote. Java ... working with Linux-based operation system (CentOS, OSX) * Strong experience developing ...

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All JobsLinux JobsRemote Linux JobsRemote Linux Jobs in Corona, CA

Remote Linux information

See Corona, CA salary details

$37

$57

$73

How much do remote linux jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote linux in Corona, CA is $57.07, according to ZipRecruiter salary data. Most workers in this role earn between $51.83 and $61.25 per hour, depending on experience, location, and employer.

What is a Remote Linux?

A Remote Linux job involves managing, maintaining, and troubleshooting Linux-based systems from a remote location. Professionals in these roles may work as system administrators, DevOps engineers, or cloud engineers, ensuring server uptime, security, and performance. Common tasks include configuring servers, automating processes, and deploying applications. These jobs require expertise in Linux command-line tools, scripting languages, and networking. Many companies hire remote Linux professionals to support cloud environments, web servers, and enterprise systems.

What does a Remote Linux do?

As a Remote Linux professional, your daily tasks may include server provisioning, managing user accounts, monitoring system health, deploying software updates, and troubleshooting network or application issues. You may also work on automation projects using scripting languages or configuration management tools to streamline system operations. Collaboration is often virtual, so you'll join regular meetings, coordinate with development or DevOps teams, and document processes or incidents thoroughly. Depending on your employer, you may participate in on-call rotations or respond to urgent incidents to ensure uptime and security. This variety of responsibilities provides both technical challenges and opportunities for skill development in a dynamic environment.

What are the key skills and qualifications needed to thrive in the Remote Linux position, and why are they important?

To thrive in a Remote Linux role, you need a strong understanding of Linux system administration, shell scripting, networking concepts, and troubleshooting skills, often supported by a degree in computer science or relevant certifications such as CompTIA Linux+ or RHCSA. Proficiency with configuration management tools (like Ansible or Puppet), remote monitoring solutions, and cloud platforms is commonly required. Strong communication, self-motivation, and problem-solving abilities are key soft skills that help remote professionals excel. These skills ensure reliable system performance, efficient collaboration with distributed teams, and successful problem resolution in remote environments.

What are popular job titles related to Remote Linux jobs in Corona, CA?

For Remote Linux jobs in Corona, CA, the most frequently searched job titles are:

What job categories do people searching Remote Linux jobs in Corona, CA look for?

The top searched job categories for Remote Linux jobs in Corona, CA are:

What cities near Corona, CA are hiring for Remote Linux jobs?

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Remote Linux jobs near you
Infographic showing various Remote Linux job openings in Corona, CA as of August 2026, with employment types broken down into 87% Full Time, 4% Part Time, and 9% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $118,711 per year, or $57.1 per hour.

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Re-posted 6 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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