Senior R&D Engineer - AI Product Owner (f/m)

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Synopsys

Synopsys

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Posted on: 10 October, 2025

Senior R&D Engineer - AI Product Owner (f/m)

Summary / Role Purpose

The SimAI platform is a SaaS AI-based technology that brings unprecedented speed, innovation and accessibility to simulation. It is based on proprietary Deep Learning algorithms at the forefront of AI state of the art. With Ansys SimAI, users can train AI models using simulation results and then reliably predict the performance of complex problems in minutes instead of hours or days. It empowers users to take faster decisions, make faster iterations and ultimately faster innovation.

The Senior R&D Engineer – AI Product Owner is responsible for the coordination and success of software product development. In this role, the Senior R&D Engineer – AI Product Owner will support the team to tackle complex product issues, satisfy customer requirements, and accomplish development objectives. You will be part of a team that builds best-in-class AI products that facilitate workflows around numerical simulations.

Key Duties and Responsibilities

  • Owns a part of the SimAI product roadmap, from sprint planning to release and measuring impact on users.
  • Collects and researches user problems and specifies user-centric solutions.
  • Design and interface with design team to solve UX & UI challenges.
  • Coordinates agile rituals around software development, and user research.
  • Works independently with minimal supervision and may take on some planning and mentoring responsibilities.
  • Researches and understands the marketing requirements for an AI product, including target environment, performance criteria and competitive issues. May work with strategic customers or proxies to assess needs and solutions to develop.
  • Performs complex bug verification, release testing and support for assigned products.
  • Document and interface with documentation team to ease support efforts.

Minimum Education/Certification Requirements and Experience

  • Bachelor’s degree in Computer Science or Engineering with 5 years of combined experience in engineering, computer aided engineering (CAE) simulations, pre-sales support, or a Masters with 3 years of experience. •

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