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Remote Software Engineer Jobs in Montclair, CA (NOW HIRING)

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Work with cross-functional engineering teams to integrate ML components into robotics software ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Cotality

Software Development Engineer (Java)

Irvine, CA · On-site +1

$55.50 - $76.25/hr

We are seeking a talented and driven hybrid-remote Professional Software Engineer to join our engineering team. In this role, you will design, develop, and maintain robust Java-based applications and ...

ZipRecruiter

Software Engineer, Tech Ops

Los Angeles, CA · On-site +1

$135K - $167K/yr

We operate at the intersection of software engineering, AI, automation, and operational transformation. The team is focused on creating scalable, intelligent systems that reduce operational friction ...

Noor Staffing Group

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

Senior SDET Location: Hybrid if local to Irvine, CA. 100% remote if you live more than 30 miles from the office. Our client is one of the leading mortgage technology companies in the country ...

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All JobsSoftware Engineer JobsRemote Software Engineer JobsRemote Software Engineer Jobs in Montclair, CA

Remote Software Engineer information

See Montclair, CA salary details

$64.1K

$149K

$207.5K

How much do remote software engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote software engineer in Montclair, CA is $148,953.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $174,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote software engineers, and how can they be effectively managed?

Remote software engineers often encounter challenges such as communication barriers, time zone differences, and maintaining work-life balance. These can be effectively managed by utilizing collaboration tools (like Slack or Zoom), setting clear expectations with team members, and establishing a dedicated workspace. Regular check-ins, asynchronous updates, and proactive communication help ensure everyone stays aligned on project goals. Building strong relationships with colleagues through virtual meetings and team-building activities can also foster a supportive remote work environment.

What are the key skills and qualifications needed to thrive as a Remote Software Engineer, and why are they important?

To thrive as a Remote Software Engineer, you need strong programming skills, proficiency in software development methodologies, and typically a degree in computer science or related field. Familiarity with version control systems like Git, cloud platforms, and project management tools such as Jira is often required. Excellent communication, self-motivation, and time management are crucial soft skills for remote collaboration. These abilities ensure effective development, seamless teamwork, and productivity in a distributed work environment.

What Does a Remote Software Engineer Do?

As a remote software engineer, you work from home to create and develop systems using programming languages and frameworks. As part of your duties, you design and install software solutions by determining specifications and developing code. You also improve software initiatives by reviewing systems and recommending solutions, often virtually guiding clients through the database, network, and computer processes. By collecting and analyzing issues, you can develop solutions for a variety of technical problems. The remote aspect of this job means you can work from anywhere with a reliable internet connection.

What are Remote Software Engineers?

Remote Software Engineers are professionals who design, develop, test, and maintain software applications from locations outside of a traditional office environment. They collaborate with teams and clients using digital communication tools, allowing for flexible work arrangements. Remote Software Engineers require strong technical and communication skills, as well as the ability to manage their own schedules and work independently. This role is ideal for individuals who are self-motivated and comfortable working in a virtual setting.

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

AspectRemote Software EngineerRemote Web Developer
Required CredentialsBachelor's in CS or related field, coding skillsBachelor's in CS, design, or related field, coding skills
Work EnvironmentCollaborates on software projects, often in teamsFocuses on website and web app development, often in teams
Employer & Industry UsageTech companies, startups, software firmsWeb agencies, tech companies, startups
Search & Comparison IntentOften compared for software development rolesRelated but more focused on web-specific tasks

Remote Software Engineers develop a wide range of software applications, while Remote Web Developers specialize in building websites and web-based applications. Both roles require similar technical skills and often work in similar environments, but their focus areas differ, making this comparison useful for those exploring career options or job opportunities in tech.

More about Remote Software Engineer jobs
What are the most commonly searched types of Software Engineer jobs in Montclair, CA? The most popular types of Software Engineer jobs in Montclair, CA are:
What are popular job titles related to Remote Software Engineer jobs in Montclair, CA? For Remote Software Engineer jobs in Montclair, CA, the most frequently searched job titles are:
What job categories do people searching Remote Software Engineer jobs in Montclair, CA look for? The top searched job categories for Remote Software Engineer jobs in Montclair, CA are:
What cities near Montclair, CA are hiring for Remote Software Engineer jobs? Cities near Montclair, CA with the most Remote Software Engineer job openings:
Remote Software Engineer jobs near you
Infographic showing various Remote Software Engineer job openings in Montclair, CA as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $148,953 per year, or $71.6 per hour.

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Posted 20 hours 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.