We are looking for an enthusiastic AI & Robotics Intern to work on integrating Large Language Models (LLMs) and Vision-Foundation Models (VFMs) with robotic systems. You’ll contribute to developing intelligent behaviors in ROS 2-based robots using GPT, CLIP, and similar models. This role involves prototyping, prompt engineering, and real-time system testing. A great opportunity to explore cutting-edge AI in real-world robotics.
- Proficient in Python and familiar with deep learning frameworks (e.g., PyTorch or TensorFlow)
- Basic understanding of LLMs, transformer models, or vision-language models (e.g., CLIP, SAM)
- Exposure to ROS 2 through coursework, projects, or self-learning
- Strong interest in robotics, AI integration, and real-world problem solving
- Good analytical skills and ability to work independently
- Familiarity with tools like Gazebo, RViz, or model APIs (e.g., OpenAI, HuggingFace) is a plus
- Prior experience in AI/robotics projects (academic or personal) is a bonus
- Eagerness to learn and contribute in a collaborative, fast-paced environment
- Opportunity to work on cutting-edge AI applications in robotics using LLMs and VFMs
- Mentorship from experienced robotics and AI engineers
- Access to state-of-the-art tools and simulation environments (e.g., ROS 2, Gazebo, Jetson)
- Competitive Monthly stipend
- Chance to receive a Pre-Placement Offer (PPO) based on performance
- Build a strong project portfolio that stands out in both academia and industry
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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