Summer Internship at DHAKMA IO
AI SYSTEMS INTERN VISION, ROBOTICS & LLMS
We build and deploy real systems in the field — computer vision,
autonomous guidance, robotics, and graphics. We ship products, not
slide decks — vision systems, robotics, and LLM-powered applications.
Summer or part-time works. If you've built something real, keep reading
W H A T Y O U ' L L W O R K O N
DRONE DETECTION & TRACKING
Real-time detection and classification pipelines running on edge
hardware. Raspberry Pi 5 + Hailo AI accelerators. Actual field
deployments.
AUTONOMOUS GUIDANCE & INDUSTRIAL VISION
We've built autonomous guidance stacks from scratch. Also defect
detection, dimensional measurement, and visual inspection
deployed on-prem for oil & gas and manufacturing. No cloud. Ships
in a pelican case.
CUDA & GRAPHICS PROGRAMMING
GPU compute pipelines, shader programming, real-time rendering
and simulation. If you've written CUDA kernels or played with
graphics APIs for fun, you'll fit right in.
LLM DEPLOYMENT & AI APPLICATIONS
Deploying and fine-tuning LLMs on-premise for clients who can't use
OpenAI. Quantization, RAG pipelines, inference optimization on
constrained hardware. Making large models actually run in the real
world.
DHAKMA CORE — SOVEREIGN AI APPLIANCE
Our flagship product. Air-gapped, on-premise AI in a purpose-built
hardware enclosure. You'll work on the full stack from inference
optimization to the Linux services that run it.
W H A T W E A C T U A L L Y N E E D
▶ You've deployed something on a Raspberry Pi, Jetson, or
Arduino and it actually worked — not just in a tutorial, in your
own project
▶ Linux is your daily environment or you've spent real time
developing on it. You're comfortable with the terminal, systemd,
SSH, and troubleshooting hardware over serial
▶ Strong programming fundamentals — C++, Python, Rust,
whatever. Language doesn't matter, ability to write fast, correct
code that talks to hardware does
▶ Hands-on experience with LLMs — running them locally, finetuning,
building RAG pipelines, or optimizing inference.
Knowing your way around Ollama, llama.cpp, or HuggingFace
beyond just calling an API
+ Experience with OpenCV, PyTorch, or ONNX inference on edge
hardware is a real plus
+ Any background in computer vision, robotics, or embedded
systems coursework
+ Anyone who's done actual on-device programming for fun or
projects (graphics, Pi, Arduino, GPU compute) is very welcome
A B O U T D H A K M A
Dhakma IO is an AI product and productized services company founded by Dr. Tharindu "Mackie" Mathew, a Purdue CS PhD and former
Microsoft Azure engineer. Our products include Dhakma Core — a sovereign, air-gapped private AI appliance — alongside productized vision
and robotics systems for defense, manufacturing, and energy. Everything ships as a finished product, not a project. Every project is hands-on
and US-based. You'll work directly with Mackie — no bureaucracy, no intern busywork. The photos above are actual hardware we've built and
flown.
U S P E R S O N S P R E F E R R E D — N O S P O N S O R S H I P A V A I L A B L E A T T H I S T I M E
SHOW US WHAT YOU'VE BUILT
Send a short note + resume (and a GitHub or project link if you have one) to contact@dhakma.io
dhakma.io — West Lafayette, IN