Palette Neat Application Development, Intern (AI2519)

SiMa.ai is building the infrastructure that powers the next generation of Physical AI. They are seeking a Palette Neat Application Development Intern to develop end-to-end Physical AI applications and work closely with the company's software stack to create real-world applications targeting the SiMa Modalix platform.

What you'll do:

• 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

What they're looking for:

• 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
• 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

Benefits:

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