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    InternshipsKognitosSoftware Engineer Intern

    Software Engineer Intern

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    Kognitos

    51-200 employeesFounded 2020Mountain View, CaliforniaSoftware Development
    NewApply by Aug 26Actively hiringPaidFall 2026Software Development
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    About the role#

    As a Software Engineer Intern at Kognitos, you will work on real product problems. You will write production code, contribute to core systems, and help shape how we build software. You will work alongside experienced engineers to ship features and learn through active participation. This is a full-time, paid position for Fall 2026.

    What you'll do#

    • Build and ship features end-to-end with the engineering team.
    • Use AI-native tooling like Claude and Cursor to speed up your development workflows.
    • Write clean, maintainable, and well-documented code.
    • Participate in code reviews and technical discussions.
    • Debug issues and improve system performance.
    • Contribute to projects across AI, automation, and data systems.

    What you'll need#

    • Currently pursuing a degree in Computer Science or a related field.
    • Strong fundamentals in programming with languages such as Python or JavaScript.
    • Familiarity with Git and collaborative development workflows.
    • Solid understanding of core computer science concepts including data structures, algorithms, and systems basics.
    • Strong problem-solving ability and curiosity.
    • Clear communication skills and a team-oriented mindset.
    • Bonus points if you have experience using AI coding tools, building projects with LLMs or APIs, or working with modern web stacks and cloud platforms.

    Location & details#

    • Location: San Jose, California, United States.
    • Modality: This is an on-site role.
    • Term: Fall 2026.
    • Sponsorship: We do not offer visa sponsorship for this position.
    Relevant fieldsComputer Science

    About Kognitos

    Kognitos is a software development company founded in 2020. Based in Mountain View, California, the firm employs between 51 and 200 people. It builds a neurosymbolic AI platform to automate business operations. This technology converts system knowledge into documented automations using plain English.

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