• Design, develop, and maintain a robust automated testing framework from the ground up that supports distributed AI training and inference workloads. • Develop complex test plans that go beyond unit tests, focusing on end-to-end system integration, stress testing, and hardware-software boundary conditions. • Partner closely with System Engineers to debug deep-seated issues in distributed clusters, using telemetry and profiling tools to identify bottlenecks.

• Produce and maintain automated regression tests for the applications API's and the UI • Manual exploratory testing across the entire application stack • Ensuring Stories meet the acceptance criteria • Ensuring the product meets expectations with regards to stability and performance • Report and track defects • Continually evaluating the test automation approach looking for improvements • Contributing to backlog refinement sessions to provide an estimation of test effort for new and updated features (stories) • Working closely with members of the Scrum team to plan, manage and complete work on time and to a sufficient quality • Creating and maintaining any necessary test documentation

• Define and lead automation strategy across UI, API, integration, performance, and security layers • Architect and evolve scalable, reusable automation frameworks • Implement AI‑assisted testing to enhance coverage and improve defect detection • Integrate automated testing into CI/CD pipelines to support continuous quality validation • Establish quality standards, coverage metrics, and observability practices • Collaborate closely with software engineers, AI engineers, product teams, and quality engineers • Contribute to testing across multiple components within a large-scale clinical technology platform • Improve test reliability, execution speed, and automation maintainability • Ensure compliance with regulatory standards (e.g., GxP, FDA, 21 CFR Part 11) • Mentor engineers and elevate automation maturity across teams

• Help design and deliver the core hardware modules inside our next generation chiplet based SoCs for automotive products. • Ensure our multi-die SiP platforms meet aggressive performance, quality, and safety targets. • Define test strategy for multi chiplet packages from initial silicon through high volume production. • Feed lessons learned back into next generation SiP architectures, DFT strategy, and test content.