ANSYS is currently looking for qualified candidates to fill the position of R&D Engineer II in Pune. To be eligible for this role, candidates must hold a Bachelor’s degree in Engineering, Computer Science, or a related field. ANSYS requires a minimum of 1 year of experience for this position, ensuring that applicants have a foundational understanding of the field. As an R&D Engineer II at ANSYS in Pune, individuals will have the opportunity to contribute to cutting-edge research and development initiatives. Pune, known for its vibrant culture and burgeoning tech industry, provides an excellent backdrop for professionals seeking growth and innovation in their careers.
Company Name: Ansys
Job Role: R&D Engineer II
Education Required: BS in Engineering, Computer Science, or related field.
Experience Required: 1 yrs
Job Location: Pune
Role and Responsibilities:
- Performs complex development activities, including the research, design, development, maintenance, testing and documentation of diffusion models.
- 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.
Required Skills and Qualification:
- 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.
- Masters or a PhD degree with 1 yrs experience in generative models such as GANs or Stable diffusion.
- Experience with GPU programming (CUDA, OpenGL, OpenCL, DirectX).
- Publication in leading journals or conferences such as CVPR, NeurlPS, ICML or ICLR.
- Experience with 3D geometry, computer graphics or computer vision.
