At a Glance
- Tasks: Deploy AI algorithms to edge devices and optimise models for real-time applications.
- Company: Innovative company revolutionising the Electrical Distribution Industry with machine learning.
- Benefits: Competitive salary, vibrant office location, and opportunities for professional growth.
- Other info: Dynamic Bristol office near great eateries and cultural hotspots.
- Why this job: Make a real-world impact by preventing outages and enhancing grid health.
- Qualifications: Experience in model optimisation and embedded software development.
The predicted salary is between 60000 - 70000 € per year.
Salary £60,000 - £70,000+ DOE
About our Company
As a company we specialise in using ML within the Electrical Distribution Industry to predict outages and equipment failure. The work has huge real world implications, helping prevent anything from large scale outages to mitigating wildfires. Our engineers, developers and data scientists share a passion for innovation and are dedicated to providing our customers with solutions that enable new insights that revolutionise business processes.
Our main office
Based in the heart of the wonderful and vibrant city of Bristol around the corner from the SS Great Britain and one of the street artist, Banksy’s infamous works. It is only a short stroll to Cargo and the Harbourside area which boasts a tremendous array of bars, restaurants, cafes and other assorted nice places all ripe for a lunch break visit or relaxing after work.
What will you be working on?
Working alongside our Data Science team you will be responsible for deploying AI algorithms to edge devices like Smart Meters, acting as a bridge between high level data science and low level hardware engineering. You will be responsible for taking trained models and "shrinking" them to fit within the kilobyte-range memory and milliwatt power budgets of our hardware. Your work will enable real-time anomaly detection, load forecasting, and grid health monitoring directly at the point of consumption.
Key Responsibilities
- Model Optimization: Convert high-level Python/TensorFlow/PyTorch models into optimized C++, Rust or Flatbuffer formats using TensorFlow Lite for Microcontrollers or Edge Impulse.
- Resource Management: Implement techniques like 8-bit quantization, weight pruning, and knowledge distillation to ensure models run within.
Senior Embedded Software Engineer in Bristol employer: Toumetis
As a Senior Embedded Software Engineer at our innovative company, you will be part of a dynamic team dedicated to harnessing machine learning to transform the Electrical Distribution Industry. Located in the vibrant city of Bristol, our workplace fosters a collaborative culture that encourages creativity and professional growth, with access to a plethora of local amenities for a balanced work-life experience. Join us to make a meaningful impact while enjoying a supportive environment that values your contributions and development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Embedded Software Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to embedded systems and AI. We love seeing real-world applications of your work, so make sure to highlight any relevant experience.
✨Tip Number 3
Prepare for the interview like it’s a big game day! Research the company, understand their products, and be ready to discuss how your skills can contribute to their mission. We want to see your passion for innovation shine through!
✨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 on the lookout for talent that fits our culture and values.
We think you need these skills to ace Senior Embedded Software Engineer in Bristol
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for embedded software engineering shine through. We love seeing candidates who are genuinely excited about using ML to make a difference in the Electrical Distribution Industry.
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your experience with model optimisation and resource management, as these are key aspects of the job. We want to see how your skills align with what we do!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit. Share specific examples of your past work that relate to deploying AI algorithms and working with edge devices. We appreciate a personal touch!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Toumetis
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially C++, Rust, and TensorFlow. Brush up on model optimisation techniques like quantization and pruning, as these are likely to come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly those related to deploying AI algorithms on edge devices. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Understand the Company’s Mission
Familiarise yourself with how the company uses machine learning in the electrical distribution industry. Be ready to discuss how your skills can contribute to preventing outages and improving grid health, showing that you’re aligned with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future innovations. This not only shows your interest but also helps you gauge if the company culture is a good fit for you.
