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Remote Automotive Embedded Software Engineer 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.

EnerSys

Application Security Engineer (REMOTE)

Chino, CA · Remote

$117K - $146K/yr

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

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All JobsAutomotive Embedded Software Engineer JobsRemote Automotive Embedded Software Engineer JobsRemote Automotive Embedded Software Engineer Jobs in Riverside, CA

Remote Automotive Embedded Software Engineer information

See Riverside, CA salary details

$73K

$160K

$181.5K

How much do remote automotive embedded software engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote automotive embedded software engineer in Riverside, CA is $160,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,200.00 and $180,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Automotive Embedded Software Engineer, you need a strong background in computer science, embedded systems, and automotive standards like AUTOSAR, usually supported by a relevant degree. Familiarity with programming languages such as C/C++, real-time operating systems (RTOS), and tools like CANoe, MATLAB/Simulink, and version control systems is essential. Excellent problem-solving, communication, and self-motivation are critical soft skills, especially in a remote work environment. These skills ensure the reliable development of automotive software, effective remote collaboration, and compliance with industry safety and quality standards.

What is a remote automotive embedded software engineer?

A Remote Automotive Embedded Software Engineer is a professional who designs, develops, tests, and maintains software systems embedded within vehicles, such as control units, infotainment systems, and safety features, while working from a remote location. They use programming languages like C or C++ to create real-time applications that interact with automotive hardware. These engineers collaborate with teams virtually and often follow automotive standards such as AUTOSAR and ISO 26262 to ensure quality and safety. Their work is crucial to the advancement of connected and autonomous vehicles.

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

Remote Automotive Embedded Software Engineers often encounter challenges such as effective communication with cross-functional teams, managing hardware access remotely, and ensuring real-time debugging. To address these, engineers typically leverage collaboration tools for regular check-ins, utilize remote access hardware labs or simulators, and maintain thorough documentation. Strong time management and proactive communication are essential to stay aligned with project milestones and quickly resolve technical issues.

What is the difference between Remote Automotive Embedded Software Engineer vs Remote Automotive Control Systems Engineer?

AspectRemote Automotive Embedded Software EngineerRemote Automotive Control Systems Engineer
Required CredentialsBachelor's in Electrical, Computer Engineering, or related field; experience with embedded programmingBachelor's in Electrical, Mechanical, or Systems Engineering; knowledge of control algorithms
Work EnvironmentDevelops software for vehicle ECUs, often in collaboration with hardware teamsDesigns and tests vehicle control systems, integrating hardware and software
Industry UsageCommonly employed in automotive OEMs and suppliers focusing on embedded softwareUsed in automotive OEMs and Tier 1 suppliers focusing on control system development

Both roles involve working in the automotive industry with a focus on vehicle systems. The Embedded Software Engineer primarily develops software for vehicle ECUs, while the Control Systems Engineer designs and tests control algorithms. They share similar credentials and work environments but differ in their specific focus areas within automotive system development.

What are popular job titles related to Remote Automotive Embedded Software Engineer jobs in Riverside, CA? For Remote Automotive Embedded Software Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Automotive Embedded Software Engineer jobs in Riverside, CA look for? The top searched job categories for Remote Automotive Embedded Software Engineer jobs in Riverside, CA are:
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Remote Automotive Embedded Software Engineer jobs near you

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Re-posted 28 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.