Software Development Intern for AI Operations and Innovation

1 week ago


Los Angeles, California, United States Divergent Full time
Job Overview

Divergent is a pioneering technology company that has developed a groundbreaking end-to-end factory system, the Divergent Adaptive Production System (DAPSTM), which leverages machine learning to optimize engineering, additive manufacturing, and flexible assembly of complex integrated vehicle structures and subsystems.

The products created using DAPS are distinguished by their superior performance, lower costs, rapid customizability, faster time-to-market, and scalability on demand to high-volume production. As a qualified Tier 1 supplier to global automotive OEMs, Divergent is expanding its reach to support mission-critical needs in the Aerospace and Defense sector.

Salary and Benefits

We offer a competitive salary range of $32-$40 USD per hour, along with a comprehensive benefits package that includes a holistic compensation structure, wellness initiatives, comprehensive health and wellness benefits, investment in growth opportunities, and an inclusive and collaborative work environment.

Job Responsibilities

In this role, you will assist in the development, simulation, verification, and deployment of AI-driven solutions across business, design engineering, and manufacturing operations. You will work closely with senior engineers to optimize AI models, validate their performance through simulations, and ensure seamless deployment into production environments.

  • Assist in training, testing, and deploying AI models.
  • Conduct simulations and verification to validate AI models for accuracy, performance, and reliability.
  • Optimize AI workflows for performance, scalability, and resource efficiency.
  • Support data pipeline development for AI applications.
  • Collaborate with cross-functional teams to integrate AI features into existing systems.
Required Skills and Qualifications

To be successful in this role, you should possess:

  • A degree in Computer Science, Software Engineering, Data Science, or a related field.
  • Basic knowledge of Python and AI/ML libraries (e.g., TensorFlow, PyTorch).
  • Familiarity with simulation tools and techniques for AI model validation.
  • Strong analytical and problem-solving skills.

Prior experience with deployment pipelines, cloud platforms, Nvidia, OpenAI, and Meta AI technologies is a plus.

We strive to create an inclusive and collaborative work environment where diversity, equity, and inclusion are valued.



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