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Deep Learning Researcher - PhysicsAI at Siemens Digital Industries Software

Posizione Deep Learning Researcher - PhysicsAI
Pubblicato 11 Aug 2026
Scaduto 10 Sep 2026
Azienda Siemens Digital Industries Software
Località Milano | IT
Contratto Full Time

Descrizione del lavoro:

Ultime informazioni sul lavoro da Siemens Digital Industries Software per la posizione di Deep Learning Researcher - PhysicsAI. If the Deep Learning Researcher - PhysicsAI vacante in Milano corrisponde al tuo profilo, invia il tuo CV aggiornato direttamente tramite il portale Jobkos.

Tieni presente che candidarsi per un lavoro richiede tempo, poiché i candidati devono soddisfare determinati requisiti aziendali. Speriamo che l'opportunità presso Siemens Digital Industries Software per la posizione di Deep Learning Researcher - PhysicsAI sia in linea con le tue qualifiche.

We are Siemens
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, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our software.
Are you a Deep Learning Researcher who possess expertise in both deep learning and physics-based simulation? 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, our team is harnessing emerging technologies like 3D genAI and geometric deep learning to enable faster product design. The team’s expertise ranges from traditional engineering design and simulation, deep learning, computational geometry, design space exploration, and user experience.
If you’d like to be responsible for designing and investigating new methods for DL-based surrogate modelling and generative AI, testing them on industrial problems, and implementing them into Simcenter PhysicsAI then we’d love to hear from you!
You’llmake a difference by:

  • Identifying and investigating emerging deep learning technologies and their application to mechanical, aerospace, and civil engineering.
  • Taking the most promising approaches all of the way to productization by writing high quality production code.
  • Assessing opportunities and gaps in the current genAI technology to inform future methods development.
  • Capturing customer needs for complex engineering design problems by working with application engineers and specialists.
Your success is grounded in:
  • Master’s or PhD in Computer Science, Engineering, Artificial Intelligence, Mathematics, Physics, or a related technical field
  • Strong proven theoretical knowledge of deep learning fundamentals
  • Strong familiarity with architectures like transformers, diffusion models, normalizing flows, and Graph Neural Networks (GNNs)
  • Proven theoretical knowledge of physics-based simulation like Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD)
  • Strong theoretical background in Partial Differential Equations (PDEs) and associated numerical methods
  • Experience with mesh-based processing algorithms
  • Hands-on experience with major deep learning frameworks like PyTorch or TensorFlow
  • Experience working on large, complex code bases
  • Strong problem-solving skills and ability to communicate technical findings clearly
Nice if you have:
  • Familiarity with deep learning applications to engineering simulation (“Physics AI”), like neural operators, Transolver, etc.
  • Familiarity with industrial FEA and CFD tools, like STARCCM+, OptiStruct, etc.
  • Publications in top-tier conferences or journals such as NeurIPS, ICML, ICLR, CVPR, ACL, etc.
  • Experience with distributed training, model scaling, and GPU/accelerator-based workflows
  • Familiarity with MLOps, experiment tracking, and model deployment
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Open-source contributions or evidence of research impact
  • Experience collaborating across research and engineering teams
Join our Digital World
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!
Compensation & Benefits
The primary Localitàs for this opportunity are Spagna, Italia, Francia, and Grecia. The applicable salary ranges for these Localitàs are:
52,100 - 83,300 (Spagna)
49,000 - 81,800 (Italia)
52,800 - 89,700 (Francia)
32,100 - 64,200 (Grecia)
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 Paese via the link:
This Posizione may also be Pubblicato in additional Localitàs beyond those specified above. For such Localitàs, the applicable salary ranges and benefits will be disclosed by the Talent Acquisition Partner at the time of initial contact, in accordance with local legal requirements.
Our Commitment to Equity and Inclusion
We value equal opportunities and welcome applications from people with disabilities. At Siemens, we believe people who’ve had real experiences dealing with being different will excel as leaders. Let’s foster a culture of creativity and innovation. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please Contattaci to request accommodation.
Siemens Software. Transform the Everyday
#DISWSIM

Info sul lavoro:

  • Azienda: Siemens Digital Industries Software
  • Posizione: Deep Learning Researcher - PhysicsAI
  • Luogo di lavoro: Milano
  • Paese: IT

Come inviare la candidatura:

Dopo aver letto e compreso i criteri e i requisiti minimi indicati nelle informazioni sull'offerta Deep Learning Researcher - PhysicsAI at the office Milano sopra indicato, prepara immediatamente i documenti necessari come lettera di presentazione, CV, copia del titolo di studio e altri allegati. Invia tramite il link Pagina Successiva qui sotto.

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