Company Profile:

When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys.

Job description:

SUMMARY 

The R&D Engineer II contributes to the development of software products and supporting systems. As part of Office of CTO, in this role you will do machine learning and deep learning to design and implement scalable ML systems for ANSYS product portfolios. 

RESPONSIBILITIES 

• Performs complex development activities, including the research, design, development, maintenance, testing and documentation of machine learning models as applied to numerical simulations. 

• Research deep learning methods to apply them for numerical simulation in context of fluids, structures, electromagnetics, optics, and electronics. 

• Participates in brainstorming, planning, architecture and research. 

• Collaborate with product engineering teams to drive real-time model implementations and new feature creations. 

• Maintains efficient/scalable processes for large scale data analyses, model development, framework development, model validation and model implementation. 

• Diagnose and fix code problems. 

• Create unit regression and/or system-level tests to thoroughly validate new features or changes. 

• Works under the general supervision of a development manager 

MINIMUM QUALIFICATIONS 

• BS in Engineering, Computer Science, or related field. 

• Working experience developing machine learning code in C++ or Python with a focus on deep learning frameworks like TensorFlow, PyTorch, JAX, or Scikit Learn                        

PREFERRED QUALIFICATIONS 

• Masters or a PhD degree with 1 yrs experience in computer graphics, computer vision, physics or applied mathematics or engineering   

• Experience with GPU programming (CUDA, OpenGL, OpenCL, DirectX).  

• Publication in leading journals or conferences such as SIGGRAPH, CVPR, NeurlPS or ICLR 

• Experience with 3D geometry, computer graphics or computer vision