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Embedded Intern Jobs in California (NOW HIRING)

Tacit

RF Hardware Intern (Fall 2026)

San Francisco, CA · On-site

$40 - $60/hr

Each intern will own a focused project area and work closely with RF and validation engineers to ... This role offers hands-on experience across RF hardware, embedded firmware, test automation, and ...

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Embedded Intern information

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$8

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$27

How much do embedded intern jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for embedded intern in California is $17.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $19.95 per hour, depending on experience, location, and employer.

What types of projects and technologies can an embedded intern expect to work with?

As an Embedded Intern, you can expect to work on a variety of hands-on projects involving microcontrollers, real-time operating systems (RTOS), and hardware interfacing. You'll likely assist with designing, coding, and debugging firmware, as well as testing embedded systems in collaboration with senior engineers. Interns often participate in team meetings, contribute to documentation, and may have opportunities to use industry tools such as oscilloscopes, logic analyzers, and version control systems. The experience provides a practical foundation for understanding the embedded development lifecycle and offers valuable exposure to both hardware and software integration.

What is an embedded intern?

Embedded Interns are students or recent graduates who work as interns in the field of embedded systems. They assist in designing, developing, testing, and debugging hardware and software that control devices not typically thought of as computers, such as cars, medical devices, or home appliances. Embedded Interns often work under the supervision of experienced engineers, gaining hands-on experience with microcontrollers, real-time operating systems, and various programming languages. This role provides an opportunity to learn industry practices and contribute to real-world projects while building foundational skills in embedded systems.

What is the difference between Embedded Intern vs Firmware Intern?

AspectEmbedded InternFirmware Intern
Required CredentialsTypically a student or recent graduate in Electrical Engineering, Computer Engineering, or related fieldsSimilar educational background, often with coursework in embedded systems or firmware development
Work EnvironmentHands-on hardware and software development, working with microcontrollers and embedded systemsDeveloping low-level code for hardware devices, often working closely with hardware teams
Industry UsageUsed across electronics, automotive, consumer devices, and IoT sectorsCommon in consumer electronics, medical devices, and industrial equipment

Embedded Interns and Firmware Interns share similar educational backgrounds and work environments focused on embedded systems. The main difference lies in their focus: Embedded Interns often work on broader embedded hardware and software integration, while Firmware Interns concentrate on developing low-level firmware code for specific hardware components.

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

To thrive as an Embedded Intern, you generally need a solid background in electronics, C/C++ programming, and basic understanding of embedded systems, often supported by coursework or relevant projects. Familiarity with microcontrollers, development boards (such as Arduino or STM32), and version control systems like Git is commonly expected. Strong problem-solving abilities, eagerness to learn, and effective teamwork set standout candidates apart. These skills ensure you can contribute to hands-on development, adapt to new technologies, and collaborate efficiently with engineering teams.
What are the most commonly searched types of Embedded jobs in California? The most popular types of Embedded jobs in California are:
What cities in California are hiring for Embedded Intern jobs? Cities in California with the most Embedded Intern job openings:
Embedded Intern jobs near you
Infographic showing various Embedded Intern job openings in California as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $37,054 per year, or $17.8 per hour.

Palette Neat Application Development, Intern (AI2519)

SiMa Technologies

San Jose, CA

$36 - $40/hr

Internship

Posted 22 days ago

Job description

Job Title: Palette Neat Application Development, Intern    

Job Location: San Jose, CA (Onsite)    

Job ID: AI2519   

Internship Term: Internship Term: Preferably starting in early July 2026 through end of August 2026.     

Internship Stipend: The hourly pay rate range for this position is $36 - $46   

ONSITE: This role requires the Intern to work from our San Jose, California office during the duration of the Internship.      

At SiMa.ai, we are building the infrastructure that powers the next generation of Physical AI. Our platform, SiMa Modalix, enables developers and enterprises to deploy AI applications efficiently across robotics, drones, industrial automation, and intelligent edge systems. 

We are looking for highly motivated students or recent graduates who are passionate about Physical AI, edge application development, AI pipelines, and developer tools. 

Role Overview: As a Palette Neat Application Development Intern, you will work hands-on with SiMa.ai’s Palette and Neat software stack to build real-world Physical AI applications targeting the SiMa Modalix platform. You will help create, validate, and optimize end-to-end AI applications that combine video, sensors, machine learning models, and multi-processor execution.

This role is ideal for candidates who enjoy building practical AI applications, working close to hardware, and turning models into deployable edge solutions. 

You will:

  • Develop end-to-end Physical AI applications using Palette Neat, including video analytics, robotics, industrial inspection, and intelligent camera pipelines.
  • Build application examples that combine AI models, pre-processing, post-processing, media pipelines, and deployment workflows.
  • Work with Python, C++, GStreamer, and SiMa.ai tools to prototype and validate real-time AI applications on Modalix hardware.
  • Integrate neural network models into application pipelines and evaluate performance, latency, throughput, and correctness on edge devices.
  • Help create reference applications, demos, and developer-facing examples that show how customers can use Palette Neat effectively.
  • Debug application issues related to model integration, data formats, memory movement, runtime execution, and edge performance.
  • Work closely with Product and Engineering teams to improve developer experience, API usability, documentation, and application workflows. 

Required Qualifications:

  • Recently graduated or nearing graduation, such as a rising senior, with a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Artificial Intelligence, or a related field.
  • Strong programming skills in Python.
  • Familiarity with C++ and Linux development environments.
  • Basic understanding of machine learning models, computer vision, and AI application pipelines.
  • Strong debugging and problem-solving skills.
  • Excellent written and verbal communication skills. 

Recommended / Preferred Qualifications:

  • Experience with OpenCV, GStreamer, or video processing pipelines.
  • Experience with PyTorch, ONNX, TensorFlow, or similar AI frameworks.
  • Hands-on exposure to embedded systems, robotics, cameras, or edge AI platforms.
  • Familiarity with Docker, Git, CI/CD workflows, or Linux command-line tools.
  • Interest in Physical AI, real-time AI applications, and developer-facing tools. 

Personal Attributes:

  • Positive, can-do attitude with a willingness to learn.
  • Strong team player who collaborates effectively across functions.
  • Curious, creative, and passionate about solving complex problems.
  • Self-driven, execution-focused, and highly accountable.
  • Results-oriented with strong communication and interpersonal skills. 

Equal Employment Opportunity: 

SiMa.ai is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law.