At a Glance
- Tasks: Design and optimise TinyML models for cutting-edge microcontroller systems.
- Company: Exciting AI startup in Germany backed by top-tier VCs.
- Benefits: Equity options, competitive salary, and a chance to shape the future of AI.
- Other info: Be part of a rapidly growing company with immense career growth potential.
- Why this job: Join a revolutionary team and work on groundbreaking AI technology.
- Qualifications: Experience in Embedded ML/TinyML and strong programming skills in C/C++ and Python.
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
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 - Edge AI on Microcontrollers + Equity employer: AI Futures
Join a pioneering AI startup in Germany that is redefining the future of autonomous systems. With a vibrant work culture that fosters innovation and collaboration, employees are encouraged to grow alongside the company as it scales from 50 to 200 people by 2026. This role not only offers the chance to work on groundbreaking technology but also provides equity opportunities, making it an attractive choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land TinyML Engineer - Edge AI on Microcontrollers + Equity
✨Tip Number 1
Network like a pro! Reach out to people in the AI and TinyML space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your TinyML projects or any relevant work. We love seeing practical examples of what you can do, so make sure to highlight your hands-on experience with microcontrollers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C/C++ and Python skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who want to shape the future of AI.
We think you need these skills to ace TinyML Engineer - Edge AI on Microcontrollers + Equity
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the TinyML Engineer role. Highlight your experience with microcontrollers and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about TinyML and how you can contribute to our mission. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in C/C++, Python, and any experience with CMSIS-NN or Tensorflow lite. We’re keen to see how you’ve applied these in real-world scenarios, so be specific!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at AI Futures
✨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 how you've implemented TinyML models in real-world scenarios. This will show that you're not just familiar with the theory but can also apply it practically.
✨Showcase Your Coding Skills
Since a strong background in C/C++ and Python is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practising common algorithms or TinyML-related tasks can give you an edge.
✨Familiarise Yourself with the Company’s Vision
Research the company’s mission and their innovative approach to AI and autonomous systems. Understanding their goals and how your role as a TinyML Engineer fits into their vision will help you articulate why you’re the perfect fit for their team.
✨Prepare Questions That Matter
Interviews are a two-way street, so come prepared with insightful questions about the company’s projects, culture, and future plans. This not only shows your interest but also helps you gauge if this is the right place for you to grow your career.
