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Embedded Software Engineer Part Time Jobs in San Clemente, CA

Saratech

CAE Application Engineer

Mission Viejo, CA · Remote

$120K - $180K/yr

Saratech is a leading engineering Siemens software partner, but first and foremost an engineering ... All full-time employees will receive 40 sick hours per year. Part time employees will receive 40 ...

Stantec

Structural Project Engineer

Irvine, CA · On-site

$91K - $132K/yr

Perform calculations using company standard software and proprietary manufacturer software ... Actual compensation for part-time roles will be pro-rated based on the agreed number of working ...

Stantec

Senior Structural Project Engineer

Irvine, CA · On-site

$107K - $155K/yr

Perform calculations using company standard software and proprietary manufacturer software ... Actual compensation for part-time roles will be pro-rated based on the agreed number of working ...

Saratech

Senior CAM Engineer

Mission Viejo, CA · On-site

$105 - $130/hr

Ability to program and machine using CAM software and 3 and 5 axis CNC milling and lathe machines ... All full-time and part-time employees will receive 40 sick hours per year or minimum sick time ...

Real to Real (Construction Recruitment Firm)

Be Seen First

Part-Time Commercial Construction Estimator (Tenant Improvement)

Costa Mesa, CA · On-site

$30K - $60K/yr

... standard software and methodologies. * Bid Preparation: Collaborate with project managers and ... Value Engineering: Identify cost-saving opportunities without compromising quality or safety ...

Real to Real (Construction Recruitment Firm)

Be Seen First

Part-Time Commercial Construction Estimator (Tenant Improvement)

Costa Mesa, CA · On-site

$30K - $60K/yr

... standard software and methodologies. * Bid Preparation: Collaborate with project managers and ... Value Engineering: Identify cost-saving opportunities without compromising quality or safety ...

Masco Corporation

Quality Engineer Intern

Santa Ana, CA · On-site

$17.50 - $22.75/hr

Mechanical or Industrial Engineering Student. * No experience necessary ... Experience working with MS Office software. Company: Brasstech Part time Brasstech (the "Company ...

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All JobsEmbedded Software Engineer JobsEmbedded Software Engineer Part Time JobsEmbedded Software Engineer Part Time Jobs in San Clemente, CA

Embedded Software Engineer Part Time information

See San Clemente, CA salary details

$73.7K

$161.6K

$183.3K

How much do embedded software engineer part time jobs pay per year?

As of Aug 17, 2026, the average yearly pay for embedded software engineer part time in San Clemente, CA is $161,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,500.00 and $182,200.00 per year, depending on experience, location, and employer.

What is an embedded software engineer?

A Part-Time Embedded Software Engineer designs, develops, and tests software for embedded systems while working fewer hours than a full-time role. Responsibilities typically include coding in languages like C or C++, debugging firmware, and collaborating with hardware teams. Part-time roles may be project-based, remote, or flexible in schedule. Companies hire part-time engineers to support development efforts without requiring a full-time commitment. This role is ideal for professionals seeking work-life balance or supplementary experience.

What does an embedded software engineer do?

As a part-time Embedded Software Engineer, your responsibilities often include writing and testing firmware, debugging hardware-software interactions, and supporting the integration of embedded systems into products. Part-time engineers usually work on specific project phases or support ongoing development efforts, collaborating closely with hardware engineers, product managers, and quality assurance teams. While hours may be flexible, clear communication and timely task completion are crucial for synchronizing work with full-time team members. This role offers the opportunity to tackle challenging technical problems while balancing career, education, or personal commitments.

What are the key skills and qualifications needed to thrive as an embedded software engineer?

To thrive as an Embedded Software Engineer Part Time, you need strong programming skills in C/C++, understanding of embedded systems, experience with hardware interfacing, and a relevant engineering or computer science background. Familiarity with development tools like debuggers, oscilloscopes, and version control systems, as well as industry certifications such as Certified Embedded Systems Engineer (CESE), is often beneficial. Effective communication, troubleshooting ability, and time management are key soft skills for part-time engineers who frequently collaborate with cross-functional teams under tight schedules. These skills ensure reliable product development, efficient problem-solving, and smooth collaboration in dynamic and often resource-constrained environments.

What are popular job titles related to Embedded Software Engineer Part Time jobs in San Clemente, CA?

For Embedded Software Engineer Part Time jobs in San Clemente, CA, the most frequently searched job titles are:

What cities near San Clemente, CA are hiring for Embedded Software Engineer Part Time jobs?

Cities near San Clemente, CA with the most Embedded Software Engineer Part Time job openings:

Embedded Software Engineer Part Time jobs near you
Infographic showing various Embedded Software Engineer Part Time job openings in San Clemente, CA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $161,556 per year, or $77.7 per hour.

Electrical Engineer, Robotics Hardware- Part-time Internship

FieldAI

Irvine, CA

$27 - $30/hr

Full-time, Part-time, Internship

Posted 5 days ago

Job description

Who are We?

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.

Learn more at https://fieldai.com.

Hardware Team:The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We're a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. 

About the Job

At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We're looking for an Electrical Engineer- Part-time Intern to assist in the design and development of electrical systems and components. In this role, you will sit at the interface of mechanical, electrical, embedded software, and autonomy systems. Assist in the design and development of electrical systems and components. Conduct testing and analysis of electrical circuits and systems. Collaborate with senior engineers on project tasks and problem-solving.

$27 - $30 an hour

What You Have

  • Education: Current B.S., M.S., or Ph.D. student in Robotics, Electrical Engineering, Mechanical Engineering or a related field.

  • Robotic Platforms: Familiarity with diverse robotic platforms, their capabilities, limitations, and trade-offs, and how to adapt payloads accordingly.

  • Robotics Firmware & APIs: Hands-on experience applying robot SDKs, APIs, and native libraries to implement and validate advanced maneuvers or joint-level control.

  • ROS Ecosystem: Familiarity with ROS, device drivers, TF, and data streaming/publishing.

  • Testing & Validation: Comfort designing and executing repeatable test protocols for mobility, stability, runtime, and terrain handling; experience verifying manufacturer specifications before and after payload integration.

  • Field Systems: Experience designing or supporting complementary systems such as docking solutions, charging stations, or protective enclosures.

The Extras That Set You Apart

  • Scaling:  Experience taking systems from prototype through design iteration.

  • Field Environments: Experience developing systems for harsh field environments.

  • Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots.

  • Systems Level Robotics: Fluency across mechanical, electrical, and software systems.

  • Reliability Engineering: Experience designing to meet IP ratings, MIL-STD, or equivalent ruggedness standards.

Our salary range is generous and 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. 
 
Field AI Onsite Work Philosophy
 
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
 
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.
 
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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