Research Associate
📌Singapore, Singapore 🇸🇬
⏱︎ full-time
🧙♂️ senior
Key Responsibilities
- Design, develop and integrate hardware + software components for humanoid platforms, including and not limited sensors, actuators and control systems.
- Implement and optimize algorithms for motion planning, balance control, perception, and human-robot interaction.
- Conduct experimental validation of humanoid robotic systems in lab and real-world environments, including data collection and performance analysis.
- Collaborate with cross-disciplinary research teams, including mechanical design, AI, control systems, and cognitive robotics.
- Contribute to the preparation of research publications, technical reports, and presentations for internal reviews and external dissemination.
- Support the supervision of undergraduate and postgraduate students involved in related projects.
- Maintain laboratory equipment, document system architecture and experimental procedures, and ensure adherence to safety and compliance protocols.
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Assist with project management and coordination with industry + academic partners
- Master’s degree in robotics or closely related field
- At least 6 years of relevant experiences in technical hands-on experience in robotics and autonomous systems
- Solid understanding of robotics fundamentals including kinematics, dynamics, control systems, and mechatronics.
- Good written and oral communication skills
- Proficiency in programming languages such as Python, C, C++, Linux, ROS2, Embedded platforms.
- Competent in presentation/ report writing skills and general personality traits
- Interpersonal skill and strong ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills
- Ability to work collaboratively for academic publications
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Strong teamwork demonstration in a multi-cultural environment.
Hiring Institution: NTU
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
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Skills
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Industry
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