1

Intern Embedded Systems Jobs in California (NOW HIRING)

Showing results 41-60

Intern Embedded Systems information

See California salary details

$8

$16

$23

How much do intern embedded systems jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for intern embedded systems in California is $16.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.99 per hour, depending on experience, location, and employer.

What does an intern embedded systems do?

An Intern Embedded Systems assists in the design, development, and testing of embedded hardware and software systems that are part of larger electronic products. They typically work under the guidance of senior engineers to write code, debug hardware, and perform troubleshooting. Interns may also help in developing prototypes, documenting technical processes, and running experiments to validate system performance. This role provides hands-on experience with microcontrollers, real-time operating systems, and various programming languages commonly used in embedded systems.

What are the key skills and qualifications needed to thrive as an intern embedded systems?

To thrive as an Intern Embedded Systems, you need a solid understanding of programming languages like C/C++, basic electronics, and microcontroller fundamentals, typically supported by coursework or a degree in electrical or computer engineering. Familiarity with development tools such as oscilloscopes, logic analyzers, and IDEs like Keil or MPLAB is highly beneficial. Strong problem-solving skills, attention to detail, and effective teamwork are vital soft skills for this role. These qualifications enable interns to contribute meaningfully to projects, troubleshoot hardware-software issues, and adapt to the dynamic demands of embedded systems development.

What types of projects can an intern embedded systems expect to work on, and how are tasks typically assigned?

As an Intern Embedded Systems, you will often work on projects involving microcontroller programming, hardware testing, and developing or debugging firmware for embedded devices. Tasks are usually assigned based on your skill level and learning goals, with mentorship from senior engineers. You might collaborate with hardware, software, and testing teams, gaining exposure to the full product development lifecycle. This hands-on experience helps you build practical skills and understand how embedded systems integrate into larger products.

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

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

What job categories do people searching Intern Embedded Systems jobs in California look for?

The top searched job categories for Intern Embedded Systems jobs in California are:

What cities in California are hiring for Intern Embedded Systems jobs?

Cities in California with the most Intern Embedded Systems job openings:

Infographic showing various Intern Embedded Systems 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 $34,972 per year, or $16.8 per hour.

Intern - Software/ML Engineer

Human Computer Lab

San Francisco, CA โ€ข On-site

Internship

Re-posted 9 days ago


Job description

Human Computer Lab is a research lab building character robots that feel alive and responsive. Our first robot, LeLamp, explores a new category of consumer robotics where everyday objects become interactive and help us reshape our attachment to technology.
Our goal is to push the frontier of human-robot interaction by making technology more legible, emotionally intuitive, and human-centered. We are building the foundation for a new generation of robots designed for everyday environments.
What to expect
As an intern, you will be responsible for helping build the software and machine learning systems that power robot perception, intelligence, and behavior. You will work closely with the team to develop and deploy ML models, build real-time software systems, and integrate machine learning with robotic hardware - turning research and simulation into reliable, production-ready robotics software.
In this role, you will:
  • Develop software systems for robotic platforms that power robot perception, intelligence, and behavior
  • Build machine learning models for tasks such as computer vision, audio processing, and interaction understanding
  • Design and implement pipelines for training and deploying machine learning models
  • Integrate ML systems with robotic hardware and embedded systems
  • Improve robot perception, responsiveness, and behavioral intelligence
  • Collaborate with robotics engineers to build integrated robotic systems

You may be a good fit if you:
  • Are pursuing a degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field
  • Have strong programming skills in Python and/or C++ as well as an understanding of algorithms and software engineering fundamentals.
  • Have experience with machine learning frameworks
  • Have experience in one or more of the following areas: computer vision, robotics, reinforcement learning, or multimodal AI
  • Have experience building and deploying machine learning systems preferably in Simulations (Issac Sim, MJLab, Mujoco, etc.)
  • Are comfortable jumping into unfamiliar systems and can create order through chaos.
  • Care about users and feel ownership over outcomes, even for systems you don't own.
  • Think holistically about systems and approach complex problems with creative, outside-the-box solutions.

You will be a strong fit, if you:
  • Are passionate about building intelligent physical systems.
  • Move quickly and work well in rapid iteration cycles.
  • Take ownership over the systems they design and build.
  • Are curious, resourceful, and motivated to solve difficult problems.
  • Work well in small, collaborative teams.
  • Consider not just what immediately works, but how consumers will engage with robots.

The early team becomes the DNA of the company. We set ourselves and others to a high standard, and we respond with kindness when things get hard but keep everyone accountable. This requires us to be curious, creative, and diverse in our thinking and approach.
We're proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Even if you don't meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don't want that to be the reason we miss out on great talent.