At a Glance
- Tasks: Join our team to develop AI solutions for real-world industrial challenges.
- Company: Siemens Digital Industries, a leader in innovative technology solutions.
- Benefits: Flexible hybrid work, health benefits, and opportunities for global mobility.
- Other info: Dynamic environment in Cambridge with strong mentorship and career growth.
- Why this job: Launch your career in AI while making a tangible impact on the future of technology.
- Qualifications: Recent graduates in AI, Computer Science, or related fields with programming skills.
The predicted salary is between 60000 - 80000 £ per year.
About Siemens Digital Industries Software Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.
Position Overview Are you a bright, enthusiastic, and driven AI graduate eager to launch your career in industrial technology from the vibrant innovation hub of Cambridge, UK? At Siemens Digital Industries, based in the heart of Cambridge's thriving tech ecosystem, we're at the forefront of the fourth industrial revolution, creating the digital enterprise of tomorrow. We believe that artificial intelligence is a key driver of this transformation, and we're looking for passionate minds like yours to join our dynamic teams as an AI Graduate Software Engineer. This Level 1 role is designed for exceptional graduates ready to dive into real‑world AI challenges. You'll work on impactful projects, contribute to cutting‑edge solutions, and receive dedicated mentorship from an AI Development/Research Leader. This is your opportunity to apply your academic knowledge to practical industrial problems, develop your technical skills, and grow into a future AI expert within a world‑class organisation right here in one of the UK's most innovative cities.
Key Responsibilities
- Contribute to AI development by working as part of a team to develop, test, and implement AI/Machine Learning models and algorithms that address specific industrial problems within the Digital Industries portfolio, such as predictive maintenance modules, autonomous systems data preparation, quality control applications, and digital twin initiatives.
- Learn and apply state‑of‑the‑art AI techniques and tools to real‑world datasets and challenges under the guidance of experienced engineers and your AI Development/Research Leader.
- Write clean, efficient, and well‑documented code in relevant programming languages (primarily Python, C++) to implement AI algorithms, data pipelines, and software components.
- Assist with data collection, cleaning, pre‑processing, and feature engineering to prepare datasets for model training and evaluation.
- Support the testing, validation, and performance evaluation of AI models, contributing to their robustness and reliability.
- Collaborate closely with senior engineers, domain experts, and researchers to understand project requirements and integrate AI components into larger software systems and platforms.
- Actively participate in a structured graduate program, engage in continuous learning through internal training and workshops, and stay informed about new AI advancements.
- Clearly document your work and communicate progress and findings to your team and mentor.
Qualifications Required:
- Bachelor's, Master's, (or equivalent) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Applied Mathematics, or a closely related quantitative field, obtained within the last 1–2 years.
- Solid theoretical understanding of core AI/ML concepts such as supervised/unsupervised learning, basic deep learning architectures, and data science fundamentals.
- Proficiency in at least one major programming language for AI development (e.g., Python, C++).
- Familiarity with relevant AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit‑learn, or Keras.
- Understanding of data structures, algorithms, and good software engineering practices.
- Some hands‑on experience with AI/ML projects through academic coursework, research, internships, or personal projects.
Preferred:
- CUDA/Graphics Card programming.
- Experience with specific AI/ML tasks such as computer vision, natural language processing, or time‑series analysis.
- Familiarity with version control systems such as Git.
- Basic understanding of cloud platforms such as AWS, Azure, or GCP, or MLOps concepts.
- Exposure to industrial domains such as manufacturing, automation, or energy systems.
- Unrestricted right to work in the UK.
Why Us
At Siemens Software, flexibility is how we work—hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!
Our Commitment to Equity and Inclusion
We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.
Our Benefits & Rewards
The actual compensation offered is based on the successful candidate's job‑related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: SIEMENS Benefit link Siemens Software. Transform the Everyday.
Software Engineer - AI in Cambridge employer: Siemens Digital Industries Software
Siemens Digital Industries Software is an exceptional employer, offering a dynamic and flexible work environment that fosters innovation and collaboration. With a strong focus on employee growth, you will have access to mentorship opportunities and a competitive compensation package that includes comprehensive health and wellness benefits, making it an ideal place for those looking to thrive in the manufacturing software sales sector.
Contact Details:
Siemens Digital Industries Software Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - AI in Cambridge
✨Join Developer Communities
Get involved in online developer communities like GitHub or Stack Overflow. We can showcase our skills by contributing to open-source projects – it’s a great way to network, learn, and possibly catch the eye of a recruiter while doing something we love!
✨Attend Coding Meetups and Hackathons
Check out local coding meetups and hackathons. These events are fantastic for meeting other developers and potential employers, plus they're a great way to get some hands-on experience and showcase our problem-solving skills in real-time.
✨Set Up a Public Portfolio
We should create a public portfolio or GitHub repository showcasing our projects and code. This not only demonstrates our technical skills but also gives employers a peek into our creative process and problem-solving abilities.
✨Utilise University Career Services
If we're fresh out of uni, let's not forget about our university’s career services! They often have tailored resources and connections in the software development field. Plus, internships can lead to entry-level roles – a true win-win!
We think you need these skills to ace Software Engineer - AI in Cambridge
Some tips for your application 🫡
Show Off Your Coding Skills:As this is an entry-level role in software engineering development, make sure to include your coding projects. Whether it's a cool school project, a personal website, or even contributions to open-source, it all counts! Link to your GitHub or any platforms you've showcased your code on – we want to see what you've got!
Tailor Your CV to Highlight Relevant Skills:Make your CV work for you by focusing on the programming languages and frameworks you've learned. If you've dabbled in JavaScript, Python, or any specific frameworks, be sure to include those. Plus, showcasing any relevant coursework or certifications can really help us get a clearer picture of your skill set.
Craft a Motivating Cover Letter:Since you're applying for an entry-level position, your cover letter is your chance to shine. Tell us why you’re passionate about software engineering and what excites you about working with Siemens Digital Industries Software. Highlight any internships or projects that shaped your interest in coding – it’s all about your motivation!
Use Your Network:Don't hesitate to mention any connections you might have to Siemens Digital Industries Software in your application. If you know someone who works there or have attended any events they hosted, slip that into your cover letter. It shows your genuine interest and can give you that extra edge in your application!
How to prepare for a job interview at Siemens Digital Industries Software
✨Know Your Code: Prepare for Technical Questions
For a role in software engineering, you can bet your Interviewer might throw some coding problems your way. Brush up on common algorithms and data structures, and practise coding on platforms like LeetCode or HackerRank. That way, you're ready to showcase your problem-solving skills confidently!
✨Portfolio Power: Show Off Your Projects
As an entry-level candidate, your portfolio is your secret weapon. Make sure you have a few solid projects on GitHub that demonstrate your coding skills and understanding of software development processes. Be ready to walk through your code and explain your thought process during the interview.
✨Familiarise Yourself with Agile and Development Tools
Understanding Agile methodologies can really set you apart from other entry-level candidates. Get familiar with tools like JIRA or Trello, and be prepared to discuss how you've used them in your projects or studies. This shows you're not just a coder but also a team player.
✨Demonstrate Your Learning Mindset
Since you're applying for an entry-level position, it's important to show your eagerness to learn. Be ready to discuss how you’ve tackled challenges in your studies or projects, what new skills you’ve picked up recently, and how you plan to continue developing in this fast-paced field.
