Verification & Validation Engineer - Process Transformation …, City of Sydney

Let’s Talk About The Role We are seeking a Verification & Validation (V&V;) Engineer who is curious, analytical, and motivated to transform how engineering work gets done. In this role, you won’t just execute V&V; activities – you’ll contribute to rethinking how they operate, using data, automation, and AI to reduce rework, improve clarity, and support better decision‑making. You’ll support the evolution of product V&V; in a regulated environment – helping ensure safety and compliance while contributing to scalable and insight‑driven workflows. If you enjoy solving ambiguous problems this role will give you the chance to make a meaningful impact. Key Responsibilities
- Contribute to Process Transformation: Identify inefficiencies and areas of friction within V&V; workflows, supporting initiatives that transform how work is performed and reduce rework.
- System‑Level Understanding: Help analyse how V&V; interacts with upstream and downstream activities, contributing to alignment across requirements, design, and testing.
- Apply Data & Evaluation Thinking: Use data to assess whether tools, automation, and workflows are delivering meaningful transformation, focused on outcomes.
- Apply AI in Context: Use AI tools within V&V; workflows, with an understanding of their limitations to improve reliability, transparency, and usefulness of outputs.
- Collaborate Across Teams: Work with cross‑functional stakeholders to transform workflows, share knowledge, and support adoption of improved approaches.
- Maintain Documentation: Prepare and maintain V&V; records and supporting materials in line with regulatory requirements. Qualifications And Experience
- Bachelor’s degree in Engineering or Science.
- 3–5 years of experience in Verification & Validation, Systems Engineering, or a related discipline in a regulated industry.
- Practical exposure to AI applications in engineering workflows, such as predictive analytics, data classification, or workflow automation.
- Familiarity with requirements management tools (e.g., DOORS, Jama, Jira) and data science environments (Python, MATLAB, Jupyter).
- Strong analytical, problem‑solving, and communication skills, with the ability to clearly present findings. Preferred
- Experience in medical devices or another regulated industry.
- Experience with AI usage in regulatory or quality contexts (e.g., automated reporting, AI‑assisted test coverage). #J-18808-Ljbffr Apply on Kit Job: kitjobau.com/job/3rtdpi