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R&D Verification & Automation Engineer (Hybrid) Ansys

Semiconductor Engineering

Vancouver

On-site

CAD 80,000 - 100,000

Full time

23 days ago

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Job summary

An established industry player is seeking a dynamic R&D Verification & Automation Engineer to enhance the testing of innovative applications. This role focuses on developing and maintaining software products that streamline testing processes across multiple environments, including Desktop, Cloud, and Web. The successful candidate will work closely with cross-functional teams to implement fully automated build pipelines and conduct thorough testing in diverse computing environments. If you're passionate about automation and software development, this is an exciting opportunity to contribute to cutting-edge technology in a collaborative setting.

Qualifications

  • Experience in developing and maintaining software products for testing.
  • Strong knowledge of automation and CI/CD processes.

Responsibilities

  • Develop and maintain applications for testing Ansys products.
  • Implement fully automated build pipelines using CI/CD tools.
  • Conduct functional and performance testing in various environments.

Skills

Automation
Software Development
Testing
Collaboration

Tools

CI/CD tools
Windows
Linux
Cloud

Job description

The R&D Verification & Automation Engineer will join the Electronics, Systems, and Optics Business Unit to support testing of Ansys applications through the development and maintenance of internal software products & supporting systems. This role will collaborate closely with distributed cross-functional teams and will work on various technology stacks and environments with automation being the center focus.

RESPONSIBILITIES
  1. Develop, implement and maintain applications to streamline testing of Ansys products in multiple environments like Desktop, Cloud, and Web.
  2. Develop, implement, and maintain fully automated build pipelines using Continuous Integration and Continuous Delivery (CI/CD) tools.
  3. Perform functional, application, regression, and performance testing in manual and/or automated test environments and investigate causes of problems.
  4. Work in a variety of computing environments such as Windows, Linux, Virtual Machines, Compute Clusters, Cloud, etc.
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