Robotics Intern at IntelliPro Group Inc.
📌Los Angeles, United States 🇺🇸
⏱︎ internship
🧙♂️ entry-level
Job Responsibilities
- Assist in building and maintaining machine learning pipelines for training and deployment (e.g. vision-language models, reinforcement learning, etc.).
- Support the research and prototyping of efficient foundation models (e.g. lightweight LLMs, model compression, quantization).
- Participate in data processing workflows, including large-scale data generation, cleaning, and synthetic data exploration.
- Collaborate with engineers and researchers across teams to align with product and project needs.
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Contribute to internal tools and documentation to support the ML development process.
Strong python programming skills & software development, and strong experience with any major deep learning framework.
Solid background in machine learning, natural language processing, computer vision, speech or data science.
Open-minded, collaborative & humble personality.
Preferred Qualification
Deep understanding of multimodal LLM modern architectures, "under the hood" LLM training knowledge, quantization techniques, etc.
Record of publications, innovations or leadership.
What Do We Provide
- A fun, supportive and engaging environment
- Opportunities to make a significant impact on the future of transportation and robotics
- Opportunity to work on cutting edge technologies with the top talent in the field
- Snacks, lunches, and fun activities
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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🧙♂️ entry-level
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