Product Design Engineer

About the role

As a Product Design Engineer within the ViDA team, you will serve as the product, UX, and frontend voice in a highly technical environment. You will take complex, data‑dense outputs-including AI model results, time series telemetry, fault streams, and fleet KPIs-and translate them into clear, trustworthy, and efficient user interfaces for clinical engineers, medical physicists, and service teams. This is a hands‑on, craft‑driven role combining product design, UX, and frontend engineering. You will own experiences end‑to‑end, from user research and interaction design through implementation and iteration, ensuring that ViDA's data applications meet the high standards required in a clinical, high‑stakes environment. What you'll do (Job responsibilities) As a Product Design Engineer, you will: Lead end‑to‑end UX for ViDA's data applications and dashboards, including user research, information architecture, prototyping, visual design, and usability testing. Engage directly with users-clinical engineers, medical physicists, service teams, and internal stakeholders-to understand real workflows, constraints, vocabulary, and cognitive load. Translate complex telemetry streams and AI model outputs into interfaces that prioritise clarity, density management, and rapid decision‑making. Apply strong information‑design principles to data visualisation, including chart selection, hierarchy, colour usage, annotations, accessibility, and thoughtful handling of empty, error, and loading states. Design and build production frontend applications using modern web technologies such as React, Next.js, TypeScript, Tailwind, and component libraries (e.g., shadcn/ui), moving fluidly between design tools and code. Design BI dashboards with the same UX rigour and product mindset applied to custom web applications. Own and evolve ViDA's design system and shared component library to ensure consistency and scalability across data products. Partner closely with data scientists, AI engineers, and analytics engineers to turn raw use cases into shipped, adopted products (not prototypes). Own a meaningful portion of the application lifecycle, including scoping, design, implementation, deployment, observability, and continuous improvement. Leverage AI‑assisted development tools (e.g., Cursor, Claude Code, Copilot, v0) where appropriate, applying judgement to maximise quality and productivity. Mobile app knowledge (required): contribute to mobile app UX and/or mobile‑first workflows (e.g., field/service experiences), bringing strong understanding of mobile interaction patterns and constraints. What you bring (Essential skills) We recognise experience can be gained in many ways. If you meet some, but not all, of the criteria listed, we still encourage you to apply. We're looking for evidence of strong craft, sound judgement, and the ability to take ideas from discovery to production. Experience building data‑facing or product‑facing web applications, with UX as a core responsibility. A portfolio demonstrating shipped, real‑world interfaces with clear design rationale and decision‑making. Strong frontend engineering skills with React, Next.js, TypeScript, Tailwind, and modern component libraries. Hands‑on experience with UX practices, including user interviews, information architecture, wireframing, prototyping, usability testing, and iterative design. Strong judgement in information design and data visualisation, including chart selection, hierarchy, colour systems, and accessibility considerations. Comfort working with SQL and querying data warehouses or lakehouses to understand and validate the data being presented. Experience with AI‑assisted development workflows and an understanding of when to rely on automation versus manual control. Familiarity with modern application lifecycles, including CI/CD, deployment, and observability. Mobile app knowledge: experience designing, improving, or contributing to mobile applications and/or mobile‑first UX patterns (iOS/Android or cross‑platform), ideally in operational or field contexts. Nice to have (Desired skills) Experience designing for expert users in high‑stakes, data‑dense environments (e.g., healthcare, medic

Benefits

Additional Information

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. About ViDA ViDA is Varian's data and AI team behind the global fleet of linear accelerators (LINACs) used in cancer treatment. ViDA transforms telemetry, event logs, and operational data from machines in hospitals worldwide into actionable insight enabling predictive maintenance, fault analytics, performance monitoring, and AI‑assisted operations that directly support patient care.

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