Siemens Digital Industries Software
Senior AI Software Engineer

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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
Help shape the future of AI for the Design and Manufacturing industry as part of our Teamcenter Bill of Materials AI team. At Siemens Digital Industries, we carry out cutting-edge research on AI models for the Design and Manufacturing industry. We work in a fast-paced environment, coming up with innovative ideas, patenting them, and productizing them at pace. We're looking for a Senior AI Software Engineer to play a leading role, bringing deep skills in cutting-edge AI to help us invent and deliver the next generation of intelligent capabilities.
Key Responsibilities
- Lead cutting-edge research and development of state-of-the-art AI models for Design and Manufacturing challenges within the Teamcenter Bill of Materials portfolio
- Design, prototype, and build novel model architectures that push the boundaries of what is possible for our products
- Architect and implement Generative AI agents that solve real-world enterprise engineering and manufacturing workflows
- Build robust, automated training pipelines that enable rapid experimentation, retraining, and continuous improvement at scale
- Define and run rigorous evaluation frameworks and benchmarks to ensure model quality, robustness, and reliability
- Turn innovative ideas into patents and shipped product features, partnering closely with engineering, product, and domain experts
- Mentor engineers and set high technical standards across research, experimentation, and productionization
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Qualifications
- Strong track record delivering advanced AI systems from research through to production at a senior level
- Deep, hands-on expertise in modern AI, including large language models, generative AI, and agentic architectures
- Proven ability to design and build novel model architectures and iterate rapidly toward measurable outcomes
- Solid experience with automated training pipelines, training orchestration, and scalable model evaluation
- Practical experience applying reinforcement learning in real product or research settings
- Excellent Python skills and strong software engineering fundamentals for building reliable, maintainable AI systems
- Strong communication and leadership skills, thriving in a fast-paced, cross-functional team
Preferred Qualifications
- Experience with model fine-tuning, RLHF, or building agentic tool-use systems
- Familiarity with retrieval-augmented generation, knowledge graphs, or structured enterprise data
- Experience deploying AI in Design, Manufacturing, PLM, or industrial domains
- History of patents, publications, or shipped AI products


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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 Benefits & Rewards
The salary range for this position is £65,700 to £115,100 and this role is eligible to earn incentive compensation. 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: https://jobs.sw.siemens.com/benefits/
Our Commitment to Equity and Inclusion in our Diverse Global Workforce
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.
Siemens Software. Transform the Everyday
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