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Internship Intelligent Systems Engineering Jobs in California

System Architect

Santa Monica, CA · On-site

$272K/yr

About Our Client Our client is a technology company developing next-generation intelligent systems ... In this role, you will work closely with engineering leadership and cross-functional teams to ...

New

... intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and ... Ensure requirements are actionable by engineering teams and testable through defined metrics and ...

... intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and ... Ensure requirements are actionable by engineering teams and testable through defined metrics and ...

Systems Architect

Santa Monica, CA · On-site

$140K - $160K/yr

... generation intelligent systems at the intersection of AI, XR, robotics, autonomy, and spatial ... In this role, you will work closely with engineering leadership and cross-functional teams to ...

New

System Architect

Santa Monica, CA · On-site

$140K - $160K/yr

... generation intelligent systems at the intersection of AI, XR, robotics, autonomy, and spatial ... In this role, you will work closely with engineering leadership and cross-functional teams to ...

New

Showing results 21-40

Internship Intelligent Systems Engineering information

What is the difference between Internship Intelligent Systems Engineering vs Internship Robotics Engineering?

AspectInternship Intelligent Systems EngineeringInternship Robotics Engineering
Required CredentialsRelevant coursework, basic programming skills, possibly some certifications in AI or systemsSimilar credentials, with additional focus on mechanical design and embedded systems
Work EnvironmentSoftware development, data analysis, AI model training in tech or research labsHardware assembly, testing, and programming in robotics labs or manufacturing settings
Employer & Industry UsageTech companies, research institutions, AI startupsManufacturers, automation firms, robotics startups

Internship Intelligent Systems Engineering and Internship Robotics Engineering share overlapping skills in programming and technical knowledge. However, Intelligent Systems internships focus more on AI, data analysis, and software development, while Robotics Engineering internships emphasize hardware, mechanical systems, and embedded programming. Both roles prepare interns for careers in high-tech industries, but their core focus areas differ based on the nature of the work environment and industry applications.

What are the most commonly searched types of Intelligent Systems Engineering jobs in California? The most popular types of Intelligent Systems Engineering jobs in California are:
What are popular job titles related to Internship Intelligent Systems Engineering jobs in California? For Internship Intelligent Systems Engineering jobs in California, the most frequently searched job titles are:
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System Architect

Escalon Services, LLC.

Santa Monica, CA • On-site

$272K/yr

Full-time

Posted 2 days ago

New


Job description


About Our Client

Our client is a technology company developing next-generation intelligent systems at the intersection of AI, XR, robotics, autonomy, and spatial computing. Their products support mission-critical applications across defense, public safety, and critical infrastructure. They are seeking passionate professionals who thrive in fast-paced environments and enjoy building impactful products from concept to deployment.

The Role

Our client is seeking a Systems Architect to define and lead the architecture of complex software and hardware systems across their AI, XR, and robotics platforms. In this role, you will work closely with engineering leadership and cross-functional teams to design scalable, secure, and high-performance solutions that support the company's long-term technology roadmap.

You will bridge product vision with technical execution, ensuring the platforms are reliable, maintainable, and built for future growth.

  • Design end-to-end system architectures for complex software and hardware solutions.
  • Define system requirements, interfaces, and technical specifications.
  • Lead architectural decisions across distributed systems, cloud infrastructure, embedded systems, and AI applications.
  • Collaborate with software, hardware, AI/ML, robotics, and product teams throughout the development lifecycle.
  • Evaluate technologies, frameworks, and tools to ensure scalability, security, and performance.
  • Establish architectural standards, design principles, and engineering best practices.
  • Conduct architecture reviews and provide technical mentorship to engineering teams.
  • Identify technical risks early and develop mitigation strategies.
  • Support integration, testing, deployment, and long-term system evolution.
  • Create and maintain technical documentation and architecture diagrams.

  • Bachelor's or master's degree in computer science, Software Engineering, Systems Engineering, Electrical Engineering, or a related field.
  • 4+ years of experience in Systems Architecture, Software Architecture, or a technical leadership role.
  • Strong understanding of distributed systems and scalable software design.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Proficiency in C++, Python, Java, or C#.
  • Experience designing APIs, microservices, and event-driven architectures.
  • Knowledge of networking, security, and systems integration.
  • Experience working in Agile development environments.
  • Strong communication and cross-functional collaboration skills.
Preferred Qualifications
  • Experience with AI/ML platforms and data pipelines.
  • Experience with robotics, autonomous systems, XR/AR/VR technologies, or computer vision.
  • Familiarity with embedded systems and edge computing.
  • Experience with Docker and Kubernetes.
  • Understanding of cybersecurity best practices and secure system design.
  • Experience supporting defense, aerospace, or government-funded programs.

  • Comprehensive Health Benefits
  • Opportunity to work on innovative AI, robotics, XR, and autonomous technologies
  • Collaborative multidisciplinary engineering environment
  • Career growth and professional development opportunities