Siemens - Software Quality Assurance Engineer in Bangalore, भारत

Job description : 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, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our https://jobeax.com/link/3Uc7j2AjX12mZpNF Shared Engineering Services team is at the forefront of validating and releasing the cutting-edge Simcenter portfolio. Our simulation software and test solutions help companies predict product performance across a broad range of engineering domains - from 3D CAE and system simulation to physical https://jobeax.com/link/Ch6ws6Kd9pQceadn are looking for a technically strong Software QA Engineer - Physics AI to help ensure the quality, accuracy, robustness, and reliability of AI-enabled engineering simulation https://jobeax.com/link/TmPdOv8HHPozh9B4 this role, you will combine your knowledge of CAE, physics-based simulation, Engineering AI, and software quality to validate AI/ML models and their integration into desktop simulation products. You will work closely with AI/ML engineers, product teams, software developers, and applications engineers to assess whether AI predictions are accurate, robust, physically meaningful, and reliable when compared with traditional simulation or solver https://jobeax.com/link/C31DawNVcITPRXcs is an opportunity for someone who enjoys complex technical problem-solving, understands engineering simulation workflows, and wants to contribute to the evolution of AI-enabled physics and simulation https://jobeax.com/link/4I5Lk81zaVCcOaR3 Responsibilities : - Validate Physics AI capabilities : Work closely with AI/ML engineers to understand the underlying physics models, simulation workflows, and algorithms, and validate the accuracy, robustness, fidelity, and consistency of AI predictions against traditional solver or reference results.- Own end-to-end quality : Drive QA activities across the software development lifecycle, independently planning and executing quality activities to ensure reliable delivery of AI-enabled simulation capabilities.- Design comprehensive testing : Review user stories, requirements, and design documentation for testability and develop functional, stress, performance, and end-to-end test scenarios aligned with engineering use cases.- Develop and maintain test automation : Create, execute, and maintain automated tests using scripting and automation frameworks, while improving existing test suites and porting automation to high-performance systems where appropriate.- Investigate complex technical issues : Go beyond identifying defects by reproducing issues, analyzing logs and system behavior, investigating root causes, and collaborating with Development and AI/ML teams to drive resolution.- Improve quality engineering practices : Identify potential risks proactively, research complex problems, introduce effective solutions, and champion best practices in software quality, automation, and testing of Physics AI capabilities.- Collaborate across engineering teams : Work closely with Development, AI/ML Engineering, DevOps, Product Management, Applications Engineering, and other teams in a globally distributed https://jobeax.com/link/g0wvc1W9wFLUqYrB : - 4 to 6+ years of relevant technical experience in CAE, engineering simulation, design verification, Physics AI, Engineering AI, or a related domain, along with hands-on experience in Software Quality Engineering or software validation.- 13+ years of professional experience in Software QA, Quality Engineering, software testing, or test automation, preferably for complex engineering or desktop software products.- Strong understanding of CAE and engineering simulation workflows, with the ability to analyze simulation results and assess their technical and physical reasonableness.- Exposure to AI/ML or Engineering AI, with the ability to understand and validate AI-driven predictions against physics-based, simulation, or solver-generated reference results.- Experience with desktop simulation or engineering software such as Simcenter, CAD/CAE applications, or similar products; experience with HyperView, Simcenter 3D Post, or equivalent post-processing tools is highly valuable.- Proficiency in Python, C, or similar scripting/programming languages, with hands-on experience developing or maintaining automated tests using PyTest, Ranorex, Selenium, or comparable frameworks.- Strong analytical, problem-solving, communication, and collaboration skills, with the ability to work independently, investigate complex technical issues, and contribute effectively in cross-functional https://jobeax.com/link/TKg5uFi8EXixZol0 Skills : - Experience testing or validating AI/ML models, Physics AI, surrogate models, or AI-enabled engineering applications.- Experience comparing AI predictions with traditional CAE/CFD/FEA solver results, experimental data, or other engineering reference data.- Familiarity with Windows and UNIX/Linux environments and cross-platform desktop software testing.- Experience with JIRA, Xray, Git, and modern test automation frameworks.- Experience with functional, regression, stress, performance, and system-level testing.- Strong attention to detail, curiosity, self-motivation, and the ability to quickly learn unfamiliar engineering and software technologies. (ref:hirist.tech)