Requisition #: 17146
Ansys is now a part of Synopsys. Synopsys, Inc. (Nasdaq: SNPS) accelerates technology innovation from silicon to systems. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at www.synopsys.com.
Summary / Role Purpose
The SimAI platform is a SaaS AI-based technology that brings unprecedented speed, innovation, and accessibility to simulation. It is built on proprietary Deep Learning algorithms at the forefront of AI. With Ansys SimAI, users can train AI models using simulation results and reliably predict the performance of complex problems in minutes instead of hours or days. It empowers users to make faster decisions, iterate more quickly, and ultimately drive faster innovation.The R&D Engineer will be part of a team of ML Engineers developing new features for the SimAI product. The scope of the position includes everything from designing and training cutting-edge models to developing robust production code.
Key Duties and Responsibilities
- Helps creating architectures for neural networks tailored to specific tasks, such as image recognition, natural language processing, or speech recognition
- Participates in planning, architecture, and research
- Performs basic development activities, including the design, implementation, maintenance, testing and documentation of software modules and sub-systems
- Learns and employs best practices
- Performs basic bug verification, release testing and beta support for assigned products. Researches problems discovered by QA or product support and develops solutions
- Works under the close supervision of a development manager
Minimum Education/Certification Requirements and Experience
- BS in Engineering, Computer Science, or related field
- Experience with Python, Deep Learning libraries and MLOps tooling
Preferred Qualifications and Skills
- Technical knowledge and experience applying AI and Deep Learning techniques to CAE, namely geometry handling, numerical simulation and methods
- Basic understanding of the software development process
- Good communication and interpersonal skills
- Ability to learn quickly and to collaborate with others in a geographically distributed team
Rewards and Benefits:
We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
At Ansys, part of Synopsys, we want talented people of every background to feel valued and supported to do their best work. We consider all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
