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Remote Software Engineer Internship Jobs in Riverside, CA

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.

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 ...

Karma Automotive

Sr. Engineer II - Software Design

Irvine, CA · Remote

$130K - $172K/yr

Lead software development and manage KCS systems which support over-the-air software updates, remote diagnostics, and telematics functionalities. * Write efficient and optimized code in programming ...

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Remote Software Engineer Internship information

See Riverside, CA salary details

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How much do remote software engineer internship jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote software engineer internship in Riverside, CA is $26.52, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $30.10 per hour, depending on experience, location, and employer.

What is a remote software engineer internship?

A Remote Software Engineer Internship is a temporary position for students or recent graduates to gain practical experience in software development while working from a location outside the company's office, usually from home. Interns collaborate with engineering teams, contribute to real projects, and learn industry-standard tools and practices. This type of internship is ideal for individuals seeking flexibility and hands-on learning in software engineering without the need to relocate. Remote internships often include mentorship, code reviews, and opportunities to build a professional network. They are a great way to gain industry experience and improve technical skills in a real-world setting.

What are the key skills and qualifications needed to thrive as a remote software engineer intern?

To thrive as a Remote Software Engineer Intern, you need a solid understanding of programming fundamentals, familiarity with software development methodologies, and current enrollment in or recent completion of a computer science or related degree program. Experience with version control systems like Git, collaboration platforms such as GitHub or Jira, and basic knowledge of cloud services or popular frameworks is typically expected. Strong communication, self-motivation, and time management skills help interns excel in remote environments and collaborate effectively with distributed teams. These skills and qualities are crucial for delivering high-quality code, learning quickly, and contributing productively from a remote setting.

What are some common challenges faced by remote software engineer interns, and how can they overcome them?

Remote software engineer interns often face challenges such as communication barriers, staying motivated without in-person supervision, and navigating differing time zones. To overcome these, it's important to proactively schedule regular check-ins with mentors, participate actively in team chats or stand-ups, and set a consistent daily routine. Utilizing collaboration tools like Slack, GitHub, and project management platforms can help interns stay connected and aligned with their team’s goals.

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

AspectRemote Software Engineer InternshipRemote Software Developer
CredentialsTypically students or recent graduates, may require coursework in CSUsually requires a degree in CS or related field, with some experience
Work EnvironmentInternship program, often part-time or temporary, supervised by senior staffFull-time or freelance, more autonomous, ongoing projects
Industry UsageCommon in tech companies, startups, and corporate training programsWidespread across industries, including tech, finance, and healthcare

The main difference is that a Remote Software Engineer Internship is a temporary, entry-level position designed for learning and gaining experience, often for students or recent grads. In contrast, a Remote Software Developer is a more advanced, ongoing role requiring more experience and responsibility. Internships serve as a stepping stone into the industry, while developer roles are permanent or long-term positions.

What are the most commonly searched types of Remote Software Engineer jobs in Riverside, CA?

The most popular types of Remote Software Engineer jobs in Riverside, CA are:

What are popular job titles related to Remote Software Engineer Internship jobs in Riverside, CA?

For Remote Software Engineer Internship jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Remote Software Engineer Internship jobs in Riverside, CA look for?

The top searched job categories for Remote Software Engineer Internship jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Software Engineer Internship jobs?

Cities near Riverside, CA with the most Remote Software Engineer Internship job openings:

Remote Software Engineer Internship jobs near you
Infographic showing various Remote Software Engineer Internship job openings in Riverside, CA as of June 2026, with employment types broken down into 89% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $55,154 per year, or $26.5 per hour.

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Re-posted 5 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.