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System Integration Intern Jobs in California (NOW HIRING)

Astrolab

LTVS Systems Engineering Intern

Hawthorne, CA · On-site

$30/hr

LTVS Systems Engineering Intern Department: Internships Employment Type: Internship Location ... You will work closely with the Systems Engineering and Integration (SEI) team as well as hardware ...

PlusAI

Software Engineer Intern - Robotics

Santa Clara, CA · On-site

$19 - $65/hr

The intern will work with team and external vendor to bring up and validate fully redundant system ... Experience in robotics / mechatronics system integration * Experience with embedded systems, Linux ...

Astrolab

LTVS Systems Engineering Intern

Hawthorne, CA · On-site

$30/hr

As an intern with the Lunar Terrain Vehicle Services (LTVS) team working on providing rover ... You will work closely with the Systems Engineering and Integration (SEI) team as well as hardware ...

Chick-fil-A - @First

Leader Intern

San Jose, CA

$20 - $25/hr

... Systems Integration -Human resource and Training -Meeting Facilitation This is a full time ... Intern responsibilities include: -Full-time commitment to the program (25-30 hours) -In-person ...

Chick-fil-A - @First

Leader Intern

San Jose, CA

$20 - $25/hr

... Systems Integration -Human resource and Training -Meeting Facilitation This is a full time ... Intern responsibilities include: -Full-time commitment to the program (25-30 hours) -In-person ...

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System Integration Intern information

What does a System Integration Intern do?

A System Integration Intern assists in connecting different software and hardware systems so they work together seamlessly within an organization. Their tasks often include configuring, testing, and troubleshooting integration processes, as well as documenting technical procedures. They may also collaborate with engineers and IT staff to ensure data flows smoothly between systems. This role provides hands-on experience with various technologies and helps interns develop problem-solving and communication skills.

What are the key skills and qualifications needed to thrive as a System Integration Intern, and why are they important?

To thrive as a System Integration Intern, you generally need a background in computer science, engineering, or a related field, along with a solid understanding of programming and networking fundamentals. Familiarity with integration tools like APIs, middleware platforms, and version control systems (such as Git) is often required, and knowledge of scripting languages like Python or Shell is beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with teams and resolve integration challenges. These skills and qualities are essential for ensuring seamless system connectivity, troubleshooting issues, and supporting successful project outcomes.

What types of projects and collaboration can a System Integration Intern expect during their internship?

As a System Integration Intern, you'll typically work on projects that involve connecting and optimizing various software and hardware systems within the organization. You'll collaborate closely with software engineers, project managers, and IT support teams to troubleshoot integration issues, test new solutions, and document processes. Interns often participate in regular team meetings, contribute to integration testing, and assist in developing scripts or tools to automate workflows. This hands-on experience helps interns build valuable technical and teamwork skills relevant to future system integration roles.
What are the most commonly searched types of System Integration jobs in California? The most popular types of System Integration jobs in California are:
What cities in California are hiring for System Integration Intern jobs? Cities in California with the most System Integration Intern job openings:
System Integration Intern jobs near you
Infographic showing various System Integration Intern job openings in California as of July 2026, with employment types broken down into 43% Internship, and 57% Full Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution.
Motion Planning Engineer (PhD, Intern)

Motion Planning Engineer (PhD, Intern)

DiDi Labs

San Jose, CA • On-site

$46/hr

Full-time, Internship

Posted 15 days ago

Job description

About The Company
DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.
About The Role
We are seeking a motivated PhD graduate with a strong research background in motion planning, robotics, or autonomous systems. In this role, you will apply your expertise in algorithm design and system integration to help develop next-generation planning capabilities for autonomous vehicles.
Responsibilities
  • Implement novel solutions for Behavioral Planning, enabling high-level decision-making for lane changes, merges, yields, and multi-agent interactions.
  • Design and optimize motion planning algorithms that integrate geometry-based path reasoning and context-aware speed reasoning into smooth, safe trajectories.
  • Develop and improve core geometry and velocity planning systems to ensure feasibility, compliance, and comfort across diverse driving scenarios.
  • Model complex driving environments and agent behaviors to create a robust world representation for planning under uncertainty.
  • Formulate cost functions and optimization frameworks that balance safety, comfort, and efficiency in trajectory selection.
  • Analyze, test, and debug system performance through simulation and real-world data, conducting root-cause investigations and proposing enhancements.
  • Collaborate with researchers and engineers across Perception, Prediction, and Control to ensure an integrated, reliable autonomy stack.

Qualifications
  • Recently completed or soon-to-complete PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
  • Research or Internship experience in one or more of the following:
  • Motion planning algorithms (optimization, sampling, graph/search-based methods)
  • Behavioral planning and decision-making under uncertainty
  • Trajectory optimization and control
  • Multi-agent interaction modeling
  • Proven research ability demonstrated by publications in top-tier conferences (e.g., RSS, ICRA, IROS, CVPR, NeurIPS, CoRL).
  • Hands-on experience in C++ for implementing complex, real-time algorithms.
  • Excellent analytical and communication skills, with a collaborative mindset.
  • For Internship Applicants: This role offers a clear pathway, with top-performing interns receiving the opportunity to convert to a full-time engineer upon successful completion of the program.

The hourly rate for the Intern position in the selected city is $46. Interns will also be eligible for Intern benefits.
Applications are accepted on an ongoing basis. This posting is for an existing vacancy.
I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa

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