Palette Neat Application Development, Intern (AI2519)

About the Role

As a Palette Neat Application Development Intern, you will work hands-on with SiMa.ai’s Palette and Neat software stack to build real-world Physical AI applications targeting the SiMa Modalix platform. You will help create, validate, and optimize end-to-end AI applications that combine video, sensors, machine learning models, and multi-processor execution. This role is ideal for candidates who enjoy building practical AI applications, working close to hardware, and turning models into deployable edge solutions.

Responsibilities

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Personal Attributes

• Positive, can-do attitude with a willingness to learn.
• Strong team player who collaborates effectively across functions.
• Curious, creative, and passionate about solving complex problems.
• Self-driven, execution-focused, and highly accountable.
• Results-oriented with strong communication and interpersonal skills.

Pay & Schedule

• Location: San Jose, CA (Onsite)
• Internship Term: Preferably starting in early July 2026 through end of August 2026.
• Hourly pay rate range: $36 - $46