Whats on offer:
Job Type: Contract
Contract: 1 year
Notice: 1.5 month or less (Inclusive of EP application)
Industry: Consulting
Description:
Key Responsibilities:
· Design and implement video/image processing algorithms to merge multiple video streams into a single panoramic video.
· Develop robust methods for video alignment, motion estimation, and real-time image blending.
· Collaborate with cross-functional teams to integrate vision algorithms.
· Optimize algorithms for real-time performance on embedded or edge platforms.
· Conduct experiments and evaluations to validate algorithm performance in real-world scenarios.
· Document technical designs, development processes, and results for both internal and external stakeholders.
Required Qualifications:
· Bachelor's, Master's, or PhD in Computer Vision, Computer Science, Electrical Engineering, or a related field.
· Proven experience in computer vision, image processing, or related domains.
· Strong proficiency in Python and/or C++, with hands-on experience using libraries such as OpenCV, PyTorch, TensorFlow, or similar.
· Demonstrated experience with video stitching, multi-view geometry, or related techniques.
· Familiarity with real-time video processing.
· Excellent problem-solving skills and the ability to work independently or collaboratively in a team environment.
Preferrable (Optional):
· Software engineering experience in developing applications backends.
· Experience with embedded systems application development.
· Familiarity with swarm robotics or autonomous navigation systems.
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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