Embedded System Engineer for Glass 3D Printing
📌Stockholm, Sweden 🇸🇪
⏱︎ full-time
🧙♂️ mid-level
hybrid
Who are we?
Nobula® is an innovative additive manufacturing startup revolutionizing glass applications through our proprietary Direct Glass Laser Deposition (DGLD®) technique. Our cutting-edge technology features a laser-based glass 3D printer that uses thin glass filaments as feedstock. With a strong focus on sustainability, our vision is to expand the potential applications of glass 3D printing.
Why is this interesting?
Traditionally, glass fabrication has been expensive, time-consuming, and primarily suited for standardized mass production. However, there is a growing demand for customizable, fast, affordable, and sustainable glass production across various sectors, from life sciences to optics and photonics. Our goal is to enable glass foundries to be placed anywhere, from office desks and labs to production factories.
What have we accomplished?
We have successfully launched pilot projects with both top-tier industial and academical partners. Currently, we are engaged in over 20 active projects. We have also raised more than 55 million SEK in investments from prestigious organizations, including the European Innovation Council (EIC), VCs, business angels, KTH Holding, and the Sting incubator. Our team of 7 operates from an office and lab in central Stockholm, and we are now entering the next phase of scaling.
About The Job
We are looking for a brave system engineer with skills in embedded systems, 3D printing and electronics to join our team. The role is interdisciplinary, blending programming with hardware and firmware development. Your responsibilities will include:
- Leading development projects and communicating effectively both internally and externally.
- Designing and improving subsystems of the glass 3D printer, focusing on hardware, firmware, and electronics, such as custom screens and embedded cameras.
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Testing your solutions in real-time processes and implementing them into the device.
What We Offer
- Close collaboration with the founding team in central Stockholm.
- An opportunity to shape your own work as an early member of a well-funded startup;
- Flexible working schedule;
- Equity options for early team members, depending on the role.
- Access to a state-of-the-art AM lab in central Stockholm.
-
A competitive salary.
- Advanced skill in embedded systems and mechatronics;
- Programming skill in C/C++/Python, experience in Linux/Makefile/Git;
- At least 5 years of experience in industrial product development, preferably in AM;
- Experience with modifying FDM printer firmware (RepRap, Marlin, Klipper, etc.);
- GitHub administration;
- Excellent execution, results-oriented;
- Excellent English skills, written and spoken;
- Knowledge of CAD;
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Eligibility to work within the EU.
- Advanced degree in robotics, machine control engineering, mechanical engineering, or equivalent.
- Experience with embedded MCU programming.
- Have written BSP for new chips or contributed codes to open-source projects.
- Experience with Design For Manufacturing (DFM).
- Algorithm engineering.
- Able to produce high quality design and validation documentation.
- Design PCB boards for manufacturing.
- Experience in Computer Vision and Machine Learning, object detection and tracking.
- High level AI user.
- Able to use workshop machinery (CNC, mill, metal lathes, etc).
-
Experience in numerical simulations - material, mechanical, optical...
Neither CV nor CL are required .
Your LinkedIn profile is sufficient for us to review your application. The profile should have recommendations, certificates, endorsed skills and verified experience.
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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Employment
⏱︎ full-time
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Experience
🧙♂️ mid-level
-
Working model
hybrid
-
Skills
-
Industry
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