We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation— helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.
About the Team:
The PhysicsAI Team at Siemens is leveraging AI to reinvent the product design cycle. With a focus on customer impact and a strong culture of collaboration and innovation, we're harnessing emerging technologies like geometric deep learning and generative AI to enable faster product design.
What You Will Be Doing:
- Work as part of a multidisciplinary team to deliver state-of-the-art AI powered engineering solutions
- Collaborate closely with product management, research, and user experience teams to deliver novel technologies within a fast-growing product
- Lead software engineering initiatives ensuring high quality and on-time delivery
- Engineer and optimize high performing machine learning pipelines to harvest and process geometric data at scale
What You Will Bring:
- A problem-solving mindset, eagerness to collaborate, and excitement to learn
- Degree in Computer Science, Engineering, Mathematics or a related technical field
- 7+ years of experience in software engineering
- Experience using and implementing numerical methods and algorithms
- Strong proficiency in C++ and Python
- Good understanding of data structures, design patterns and object-oriented programming
- Ability to write clear, modular code and unit tests
- Comfortable in both Windows and Linux
- Strong verbal and written communication skills
Additional / Nice-to-Have:
- Experience with multi-threading, MPI or CUDA
- Experience optimizing, debugging, or profiling for high-performance applications
- Track record of implementing numerical methods from academic papers
- Familiarity with deep learning frameworks such as Pytorch, Tensorflow or JAX
Why us
Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software. A collection of over 377,000 minds building the future one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!
Siemens Software.Transform the Everyday with Us
