Edge AI Application Development Intern (Onsite)

SiMa.ai; San Jose (CA); On-site; USD 49,593 - 63,369; Full time

Job summary

SiMa.ai invites students or recent graduates for the Palette Neat Application Development Intern role in San Jose, CA. You will work hands-on with the Palette Neat stack to craft end-to-end Physical AI applications targeting the SiMa Modalix platform.

You’ll prototype real-time AI pipelines, optimize deployment on edge hardware, and build developer-facing examples. Strong Python/C++ and Linux skills are essential, with a passion for edge AI and hardware-software co-design.

Qualifications

• Recent graduate or near graduation in CS/CE/Robotics or related field.
• Strong Python programming skills.
• Familiarity with C++ and Linux development environments.
• Basic understanding of ML models, CV, and AI pipelines.
• Strong debugging and problem solving, plus good communication.

Responsibilities

• Develop end-to-end Physical AI applications using Palette Neat for real-time edge deployment.
• Build demos and reference apps showing deployment workflows and pipelines.
• Prototype and validate AI applications on SiMa Modalix hardware using Python, C++, and GStreamer.
• Evaluate performance (latency, throughput, accuracy) on edge devices.
• Collaborate with Product and Engineering to improve developer experience and documentation.
• Debug issues related to model integration, data formats, and memory movement.

Skills

Python

C++

Linux

Debugging

Communication

Education

Bachelor's or Master's in Computer Science or related

Tools

OpenCV

GStreamer

Docker

Git

PyTorch

Job description

SiMa.ai invites students or recent graduates for the Palette Neat Application Development Intern role in San Jose, CA. You will work hands-on with the Palette Neat stack to craft end-to-end Physical AI applications targeting the SiMa Modalix platform.

You’ll prototype real-time AI pipelines, optimize deployment on edge hardware, and build developer-facing examples. Strong Python/C++ and Linux skills are essential, with a passion for edge AI and hardware-software co-design.