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Remote Embedded Software Jobs in Foothill Ranch, CA

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option ... Our team requires not only top AI talent but also exceptional software developers, engineers ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option ... Our team requires not only top AI talent but also exceptional software developers, engineers ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option ... Our team requires not only top AI talent but also exceptional software developers, engineers ...

This position partners with software engineers, DevOps teams, and security professionals to embed ... Experience securing embedded systems and mobile applications. Reasoning Ability Problem management ...

Remote work options may be considered on a case-by-case basis and if approved by the Company. This ... Help complete Quality documentation, threat modelling, penetration testing, software architecture ...

Remote work options may be considered on a case-by-case basis and if approved by the Company. This ... Help complete Quality documentation, threat modelling, penetration testing, software architecture ...

Senior Tax Associate

Irvine, CA · On-site +1

$90K - $115K/yr

... embedded in everything that we do. These values drive us to deliver exceptional service to our ... Flexible work environment with opportunities for remote work. Requirements Qualifications Bachelor ...

Software Engineer I

Irvine, CA · On-site +1

$137K - $206K/yr

Software Engineer I Location: 400 Spectrum Center Drive, Suite 550, Irvine, CA 92618 *Telecommuting permitted: work may be performed within normal commuting distance from The Trade Desk, Inc. office ...

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Remote Embedded Software information

See Foothill Ranch, CA salary details

$72.3K

$158.5K

$179.8K

How much do remote embedded software jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote embedded software in Foothill Ranch, CA is $158,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,800.00 and $178,700.00 per year, depending on experience, location, and employer.

What is a remote embedded software engineer?

A remote embedded software engineer is a professional who designs, develops, tests, and maintains software that runs on embedded systems, such as microcontrollers or specialized hardware, while working from a location outside the traditional office environment. These engineers typically collaborate with hardware teams, write code for real-time or resource-constrained systems, and use remote tools to debug and deploy software. They may work in industries like automotive, medical devices, consumer electronics, or industrial automation. Remote embedded software engineers rely on communication and project management tools to coordinate with their teams and ensure product quality.

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

Remote embedded software engineers often face challenges such as limited access to physical hardware for testing, coordinating with hardware teams across locations, and ensuring clear communication about design specifications. To overcome these, teams typically use simulation tools, remote access labs, and detailed documentation. Regular virtual meetings and collaborative platforms also help maintain alignment and facilitate troubleshooting in distributed environments.

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

To thrive as a Remote Embedded Software Engineer, you need expertise in embedded systems programming (typically in C/C++), hardware interfacing, and a relevant degree in computer engineering or electrical engineering. Familiarity with development tools such as debuggers, version control systems (e.g., Git), and real-time operating systems (RTOS) is commonly required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed team environment. These skills ensure reliable software integration with hardware, efficient collaboration, and successful delivery of complex embedded solutions.

What is the difference between Remote Embedded Software vs Remote Firmware Engineer?

AspectRemote Embedded SoftwareRemote Firmware Engineer
Required CredentialsBachelor's in Computer Engineering, Electrical Engineering, or related; experience with embedded systemsBachelor's in Electrical Engineering, Computer Engineering, or related; experience with firmware development
Work EnvironmentDevelops software for embedded devices, often in hardware labs or remote setupsCreates low-level firmware for hardware components, typically in hardware labs or remote
Industry UsageAutomotive, IoT, consumer electronics, industrial systemsConsumer electronics, IoT, aerospace, automotive
Common Search/ComparisonYesYes

Remote Embedded Software and Remote Firmware Engineer roles both involve working on embedded systems, but Embedded Software focuses on higher-level software development, while Firmware Engineers work on low-level hardware control code. Both require similar credentials and are used across industries like automotive and IoT, often in remote or hybrid environments.

What Are Remote Embedded Software Jobs?

Remote embedded software jobs include embedded software engineer positions. As a work from home embedded software engineer, you develop embedded software systems for a variety of computerized devices. Your responsibilities start with assessing your client’s needs. You then design and code the embedded software, troubleshoot your software systems, perform research and test actions on the software, and implement software updates whenever necessary. Other duties include maintaining the software programs, documenting solutions to issues, providing the necessary post-production support, and reviewing the implemented system to debug the embedded environment and interpret error reports.

What are popular job titles related to Remote Embedded Software jobs in Foothill Ranch, CA? For Remote Embedded Software jobs in Foothill Ranch, CA, the most frequently searched job titles are:
What cities near Foothill Ranch, CA are hiring for Remote Embedded Software jobs? Cities near Foothill Ranch, CA with the most Remote Embedded Software job openings:
Infographic showing various Remote Embedded Software job openings in Foothill Ranch, CA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $158,453 per year, or $76.2 per hour.

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Other

Posted 18 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. 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.