At a Glance
- Tasks: Create intelligent embedded systems using machine learning and work on exciting projects.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact in the tech world with cutting-edge technologies and creative problem-solving.
- Qualifications: Degree in electronic engineering or computer science; experience in firmware development is essential.
The predicted salary is between 63000 - 77000 £ per year.
Overall purpose: Experienced embedded firmware/systems engineer with specific knowledge of machine learning and machine vision to join the Electronics and Software group.
Main duties / key responsibilities:
- Work directly with customers and clients in multidisciplinary teams to understand their requirements, define tasks and take products from initial concept through to delivery.
- Produce client-focused communications, presenting and explaining technical work to a mix of technical and non-technical audiences.
- Define software system architecture, functional requirements, features and use cases.
- Use Python, C and C++ with machine learning frameworks to create intelligent embedded systems employing wired and wireless communications, sensors, user interfaces, and control for a range of applications.
- Develop high-quality code for production systems using modern software development tools and processes with software quality built in from the outset.
- Enhance 42 Technology’s software development offering through use of new development tools.
Working relationships: You will work with the wider 42 Technology team, and will report to Head of Embedded Systems.
Education / Qualifications:
- Essential: Degree qualified in a relevant discipline such as electronic engineering or computer science.
- Desirable: Higher degree such as MEng, PhD.
Knowledge and Skills:
- Essential: Demonstrable experience working with customers and clients to manage projects from procurement to delivery, with excellent verbal and written communication skills and the ability to present technical subjects persuasively to both technical and non-technical audiences.
- Demonstrable experience of firmware development for embedded products involving machine learning and/or machine vision, including an understanding of the processes and tools needed to develop maintainable high-quality embedded firmware.
- Experience working with machine learning/vision platforms and frameworks such as TensorFlow, TensorFlow Lite, OpenCV and PyTorch.
- A range of microcontroller/microprocessor types including Arm-based devices.
- Experience with test-driven development processes, such as unit testing, continuous integration, and regression testing, with an understanding of the appropriate use of third-party software.
- Excellent interpersonal skills with the ability to engage with colleagues and clients at all levels, a flexible, proactive and innovative approach to work and good attention to detail with an imaginative approach to problem solving.
- The ability to work independently with minimal supervision.
- Desirable: Experience using NVIDIA Jetson or similar AI computing platforms.
- Wireless communications such as Bluetooth, WLAN, cellular, low-power radio.
- Wired communications such as CAN, RS232, RS485, SPI and I2C.
- Real-time signal conditioning and filtering.
- Low-power or battery-powered systems.
- Experience of medical device development and the IEC 62304 software life cycle for medical products.
- Knowledge of encryption and security for embedded systems.
- Broad knowledge of electronic systems for control, communications, sensing, and user interaction.
- Development of systems on embedded Linux platforms.
Embedded Machine Learning Engineer - Electronics and Software in Cambridge employer: 42T
42 Technology is an exceptional employer, offering a dynamic and innovative work environment at the Cambourne Park Science & Technology Campus, just a stone's throw from Cambridge. Our stimulating culture fosters creativity and collaboration, providing employees with ample opportunities for professional growth and development while working on exciting projects with leading clients in various industries. Join us to be part of a team that values your contributions and encourages you to challenge the status quo in the field of industrial sensors and instrumentation.
StudySmarter Expert Advice🤫
We think this is how you could land Embedded Machine Learning Engineer - Electronics and Software in Cambridge
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at 42T or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to 42T.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like 42T.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like 42T that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Embedded Machine Learning Engineer - Electronics and Software in Cambridge
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at 42T.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at 42T and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at 42T
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If 42T uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
