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Systems Engineer Part Time information

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$52.8K

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How much do systems engineer part time jobs pay per year?

As of Aug 22, 2026, the average yearly pay for systems engineer part time in California is $125,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $154,900.00 per year, depending on experience, location, and employer.

What is a systems engineer part time?

A Part-Time Systems Engineer is responsible for designing, implementing, and maintaining technical systems while working fewer hours than a full-time role. They may focus on troubleshooting issues, optimizing performance, and ensuring system security. Part-time positions can be found in various industries, including IT, aerospace, and healthcare, offering flexibility for professionals balancing other commitments. Responsibilities may vary depending on the employer, but strong problem-solving and technical skills are typically required.

What are the typical responsibilities and work structure for a systems engineer part time?

A part-time Systems Engineer usually contributes to system maintenance, troubleshooting, and upgrades, focusing on specific projects or recurring support tasks that fit a flexible schedule. Responsibilities may include monitoring performance, implementing security updates, assisting with infrastructure improvements, and collaborating with IT and engineering colleagues. While the workload is generally more focused and less extensive than full-time roles, high self-discipline and efficient communication are crucial to align with the broader team. Many organizations offer remote work or hybrid arrangements, making this role well-suited for professionals seeking flexibility or looking to build experience alongside other commitments.

What are the key skills and qualifications needed to thrive in the systems engineer part time position, and why are they important?

A Systems Engineer Part Time should possess strong analytical thinking, problem-solving abilities, and a solid understanding of system architecture, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Linux/Windows servers, networking equipment, automation scripts, and certifications like CompTIA, Cisco, or Microsoft are commonly expected. Excellent time management, adaptability, and communication skills are vital for balancing responsibilities and collaborating with multi-disciplinary teams on a flexible schedule. These skills and qualities ensure efficient system operation, timely issue resolution, and seamless integration within part-time or project-based team environments.

What are the most commonly searched types of Systems Engineer jobs in California?

The most popular types of Systems Engineer jobs in California are:

What are popular job titles related to Systems Engineer Part Time jobs in California?

For Systems Engineer Part Time jobs in California, the most frequently searched job titles are:

What job categories do people searching Systems Engineer Part Time jobs in California look for?

The top searched job categories for Systems Engineer Part Time jobs in California are:

What cities in California are hiring for Systems Engineer Part Time jobs?

Cities in California with the most Systems Engineer Part Time job openings:

Systems Engineer Part Time jobs near you
Infographic showing various Systems Engineer Part Time job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $125,549 per year, or $60.4 per hour.

Electrical Engineer, Robotics Hardware- Part-time Internship

FieldAI

Irvine, CA • On-site

$27 - $30/hr

Full-time, Part-time, Internship

Posted 9 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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