Robotics Intern - Computer Vision
📌Detroit, United States 🇺🇸
⏱︎ internship
🧙♂️ intern
Our intelligent, adaptable, and collaborative robots are capable of automating existing assets like trolleys and pallets, enabling manufacturing industries and warehouses to automate their existing operations without making any infrastructure changes.
Role
We are seeking a passionate roboticist who enjoys developing and deploying solutions to solve customer problems. As a Computer Vision intern, you will work on developing computer vision applications in ROS2 (Python/C++) for scene understanding, and detection, segmentation of novel objects in manufacturing and warehousing environments. This role involves end to end developing, fine-tuning and deploying vision models on existing hardware. This is an excellent opportunity to gain hands-on experience in robotics, computer vision, and software development while working with a collaborative and innovative team.
Period: 3 - 6 Months, starting July 2025
Responsibilities
- Prepare manufacturing/warehousing datasets for downstream inference tasks.
- Train, deploy and fine tune detection, segmentation models and VLMs for novel objects/scenes from scratch.
- Optimise trained models for edge devices in ROS2 like Jetson Orin Nano and Orin AGX.
- Literature survey and presentation of state of the art computer vision algorithms.
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Visit customer sites for data collection, testing and deploying applications..
- Currently pursuing Master’s degree or PhD in Robotics or Computer Science.
- Experience developing and deploying robotics applications on real hardware.
- Experience with C++, Python, and RUST programming.
- Strong fundamentals in computer vision.
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Team player with excellent communication and problem solving skills.
Prior experience developing and scaling segmentation models on edge devices for novel objects.
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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