At a Glance
- Tasks: Develop and deploy 3D ML applications for turbomachinery optimisation.
- Company: Join Siemens Energy, a leader in innovative engineering solutions.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make an impact in cutting-edge aeromechanics and machine learning.
- Qualifications: Bachelor's degree in relevant field; experience in ML and engineering tools required.
The predicted salary is between 72000 - 88000 £ per year.
About the Role
We are looking for a highly skilled Research and Development Engineer to join our team. This role focuses on developing and deploying 3D machine learning applications, surrogate models, and digital-twin-enabled workflows for the turbomachinery multi-disciplinary optimization (MDO) process chain.
- Develop 3D ML-based design tools and software applications for aerodynamics, heat transfer, mechanical integrity, and lifing.
- Develop and validate surrogate models / digital twins according to user and project needs.
- Build automation scripts and workflows for MDO data preparation, model training, validation, and deployment.
- Integrate ML models into optimization loops and decision-support workflows.
- Automate engineering process steps where appropriate.
The ideal candidate should have knowledge of AI / ML methods and turbomachinery engineering fundamentals. Key responsibilities include requirements gathering, development, documentation, deployment, and maintenance of software applications. The engineer will also prepare training material and presentations to support adoption by engineering teams and improve project execution in terms of time, cost, and quality.
Basic Qualifications:
- Bachelor’s degree in mechanical engineering, aerospace engineering, computer science, applied mathematics, or related field. Preference will be given to higher education like Masters or PhD.
- Strong background in developing engineering design tools, scripts, or software applications.
- Proficient programming experience (Python, C++, Java) and good Linux skills.
- Highly motivated, proactive, and self-directed.
- Excellent interpersonal and communication skills.
- Must be eligible to work on control technology as required by export control regulations.
Technical Expertise:
- Strong understanding of ML model development, validation, and deployment.
- Proficiency in scientific and ML software stack (for example NumPy, pandas, scikit-learn, PyTorch or TensorFlow).
- Working knowledge of Gitlab/Git and Linux.
- Knowledge of uncertainty quantification and model-governance best practices is a plus.
Professional Experience:
- 3+ years of experience (or relevant PhD experience) in gas or aero turbine design, MDO workflows, or ML-enabled engineering applications.
Preferred Qualifications:
- Good understanding of gas turbine fundamentals for component design and engineering methods.
- Strong statistics, analytics, and mathematics skills.
- Knowledge of databases and data structures.
- Experience with LLMs, AI, ML, deep learning, surrogate models, or digital twins.
- Experience with high-performance computing (HPC) environments.
- Experience in Azure, AWS, or hybrid cloud environments.
- Experience developing APIs and internal engineering services.
Senior Aeromechanics Machine Learning Engineer employer: Siemens Energy, Inc.
Siemens Energy is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration within the civil engineering sector. With a commitment to employee growth, you will have the opportunity to lead diverse projects across Great Britain and Ireland while benefiting from flexible working arrangements, comprehensive medical benefits, and a strong focus on diversity and inclusion. Join us to make a meaningful impact in the energy transition and develop your career in a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Aeromechanics Machine Learning Engineer
✨Join Aerospace Forums and Groups
Get involved in aerospace engineering forums and online communities, like the AIAA (American Institute of Aeronautics and Astronautics). It's a great way to meet industry peers and stay updated on job openings and trends in the field.
✨Attend Industry Conferences
Keep an eye on upcoming aerospace conferences and events where you can network with professionals and showcase your interest. Events like the Farnborough International Airshow are not just about flying machines; they're a goldmine for connections and potential job leads.
✨Spotlight Your Projects
Make sure to highlight any hands-on experience or projects on your portfolio that showcase your skills in aerospace engineering. Employers love seeing practical applications of theoretical knowledge. Show us what you've got!
✨Apply Directly on Company Websites
When you find companies you want to work for, head straight to their careers page to apply for full-time roles, like the one with Siemens Energy, Inc. for a Senior Aeromechanics Machine Learning Engineer. This often puts your application in front of the right people faster than just waiting for job boards!
We think you need these skills to ace Senior Aeromechanics Machine Learning Engineer
Some tips for your application 🫡
Show Off Your Technical Skills:When applying for the aerospace engineering role at Siemens Energy, Inc., make sure to highlight your technical expertise. Include specific software skills, like CAD tools or simulation software, and any relevant engineering projects you’ve worked on. This is your chance to really shine and showcase your engineering toolkit!
Don't Skip Your Projects!:Include a section in your CV dedicated to projects that demonstrate your problem-solving abilities in aerospace engineering. Whether it's a university project, an internship, or personal work, we love seeing how you’ve applied your skills in real-world scenarios. Make it clear what your role was and the impact of the project.
Show Your Passion in Your Cover Letter:At Siemens Energy, Inc., we're not just looking for skills – we want to know why you’re passionate about aerospace engineering. Use your cover letter to express what excites you about aviation technology and your career goals. Share any relevant experiences or inspirations that have led you to apply for this full-time position.
Tailor Your CV for Aerospace:Make sure your CV is specifically tailored to aerospace engineering. Focus on your education, any certifications, and your work experience, ensuring you highlight aspects that relate directly to the role. Don’t forget to mention any internships or apprenticeships that have given you hands-on experience.
How to prepare for a job interview at Siemens Energy, Inc.
✨Brush Up on Your Technical Knowledge
Aerospace engineering is all about technical precision, so make sure you’re comfortable with key concepts like aerodynamics, propulsion, and materials science. We recommend going through any relevant coursework or projects you’ve worked on – these real-world examples can illustrate your understanding during the interview with Siemens Energy, Inc..
✨Showcase Your Projects with Confidence
Make sure to have a portfolio ready that details any significant projects you've worked on, whether it’s a group assignment or a personal endeavour. Be prepared to discuss the challenges you faced, the tools you used, like CAD software, and what you learned from the experience, as this will show your problem-solving skills in action.
✨Prepare for Technical Interviews
Expect some technical questions or even problem-solving exercises during your interview with Siemens Energy, Inc.. Get familiar with design challenges or theoretical problems related to aerospace; this can range from calculating lift and drag forces to materials selection under stress. Practising these can help you feel more at ease when faced with tricky questions.
✨Emphasise Your Passion and Teamwork Skills
As a full-time candidate, it’s crucial to convey your passion for aerospace engineering and your ability to work in teams. Highlight any group projects or internships you've done, focusing on how you collaborated with others to achieve a goal. Companies like Siemens Energy, Inc. love seeing candidates who not only have technical skills but also fit well within their team culture.
