At a Glance
- Tasks: Design and optimise TinyML models for innovative biobot systems.
- Company: Exciting AI startup backed by top-tier VCs, shaping the future of autonomous systems.
- Benefits: Equity options, learn from industry leaders, and be part of a groundbreaking team.
- Other info: Perfect time to grow with a rapidly scaling company and make a real impact.
- Why this job: Join a revolutionary project that connects the physical world with intelligent insights.
- Qualifications: Experience in TinyML, C/C++, Python, and microcontroller platforms required.
The predicted salary is between 60000 - 80000 € per year.
AI Futures are partnered exclusively with the most exciting AI startup in Germany on a search for a Tiny ML Engineer. This is a once in a lifetime opportunity to create a new industry by building the operating system for physical world intelligence. Funded by Tier 1 VCs, the company is developing a new category of autonomous systems capable of delivering low-signature, persistent intelligence at scale, creating a programmable layer that connects the physical world to organisations and turns deployments into real insight. With initial applications in defence and long-term applications across security, infrastructure and industry, the company is scaling from 50 to 200 people in 2026.
The Role:
- Design, deploy & optimize TinyML models on microcontrollers (ARM Cortex-M, RISC-V, custom accelerators) used on living insect biobot systems
- Hands-on implementation experience of TinyML on MCUs
- Developing real-time sensing and control pipelines
- Applying advanced optimisation techniques (quantisation, pruning, compression)
- Integrating ML models with advanced embedded systems
- Shaping the company's next generation of intelligent edge platforms
The Candidate:
- Embedded ML / TinyML experience
- Strong background in C/C++, Python, & microcontroller platforms
- Experience with CMSIS-NN, Tensorflow lite, Edge Impulse
- Background with microcontrollers such as STM32, ESP32, or Nordic platforms
- Strong understanding of machine learning and deep learning architectures
- Fluent English
This is an opportunity to get in at the perfect time, work on one of the most technically ambitious AI deployments ever, learn from a team of A Players and exited founders, grow with the company and get equity.
TinyML Engineer | Deep R&D Tech Robotics Hyperscaler | London employer: LinkedIn
Join a pioneering AI startup in London that is at the forefront of creating transformative autonomous systems. With a vibrant work culture that fosters innovation and collaboration, employees are encouraged to grow their skills and take on new challenges while contributing to groundbreaking projects. The company offers competitive equity options and the chance to work alongside industry leaders, making it an exceptional place for those looking to make a meaningful impact in the tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land TinyML Engineer | Deep R&D Tech Robotics Hyperscaler | London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that TinyML Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your TinyML projects or any relevant work you've done. We recommend sharing this on platforms like GitHub or even your own website to give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your C/C++ and Python skills, and be ready to discuss your experience with microcontrollers and ML models. We suggest doing mock interviews with friends or using online resources to get comfortable.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting opportunities, including the TinyML Engineer position. It’s a great way to ensure your application gets seen by the right people and shows your enthusiasm for joining the team.
We think you need these skills to ace TinyML Engineer | Deep R&D Tech Robotics Hyperscaler | London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with TinyML and embedded systems. We want to see how your skills in C/C++, Python, and microcontroller platforms align with the role. Don’t just send a generic CV; personalise it for us!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about this opportunity and how your background makes you the perfect fit. We love seeing passion and enthusiasm, so let that come through in your writing.
Showcase Relevant Projects:If you've worked on any projects related to TinyML or machine learning, make sure to mention them! We’re keen to see real-world applications of your skills, so include links or descriptions of your work that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at LinkedIn
✨Know Your TinyML Inside Out
Make sure you brush up on your TinyML knowledge before the interview. Be ready to discuss your hands-on experience with microcontrollers and optimisation techniques like quantisation and pruning. The more specific examples you can provide, the better!
✨Show Off Your Coding Skills
Since a strong background in C/C++ and Python is essential, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your previous projects. Practising coding challenges related to embedded systems can really help you shine.
✨Understand the Company’s Vision
Research the company’s mission and their innovative approach to AI and robotics. Being able to articulate how your skills align with their goals will show that you’re genuinely interested and invested in their success.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions about the role and the company’s future. Ask about their current projects, team dynamics, and how they envision the growth of TinyML in their applications. This shows you’re not just looking for any job, but the right fit for both you and them.
