🇪🇸 Madrid, Spain · 3w ago
Value Engineering and Outcomes Engineer
Roche
LinkedInmidEnglish-friendly
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.The PositionJob DescriptionAs a member of the ACE Value Engineering & Outcomes (VEO) team, you will play a key role in ensuring that AI and High Performance Computing (HPC) use cases are successfully translated, deployed, and executed across Roche’s AI Factory and HPC infrastructure.Operating at the intersection of business domains, RDT AI teams (such as Applied AI), and platform engineering, you will contribute to owning the end-to-end flow from use case intent to real, running workloads. You will ensure that workloads are technically executable, scalable, and aligned with platform capabilities, enabling rapid time-to-value and sustainable adoption, and ensuring alignment between business intent and platform execution.You will also contribute to defining and continuously improving how use cases move from concept to execution across the AI Factory and HPC ecosystem, helping to establish repeatable and scalable pathways for workload execution.Description Of The AreaHosting and Infrastructure (HI) provides mission-critical on-premise infrastructure, cloud hosting, connectivity, and technology products that enable all functions at every Roche site to develop, innovate, connect, and deliver compliant digital products across the Roche Enterprise.The Value Streams - Accelerated Compute Engineering (ACE) Team is focused on driving both customer success and platform success by acting as a center of excellence and delivery for the High Performance Compute and AI Infrastructure supporting AI and HPC use cases across Roche. This team facilitates seamless onboarding and adoption for business vertical customers needing accelerated compute—helping those infrastructure consumers with needs optimized for high availability, seamless data transfer, flexibility, speed, and the rapidly changing needs of AI—helping achieve rapid time-to-value.Within Accelerated Compute Engineering (ACE), the Value Engineering & Outcomes (VEO) team plays a critical role in the AI Factory ecosystem by ensuring that AI and HPC use cases are translated into executable workloads and successfully realized on platform infrastructure. Acting as a bridge between business domain teams, RDT AI teams (such as Applied AI), platform engineering, and infrastructure, the VEO team ensures that demand entering the AI Factory is structured, governed, and aligned with platform capabilities, enabling effective onboarding, execution, and measurable outcomes.Job ResponsibilitiesUse Case Structuring, Challenge & ReadinessPartner with business domain teams and RDT AI teams (such as Applied AI) to clarify, structure, and constructively challenge AI and HPC use casesAssess readiness, dependencies, and feasibility across data, infrastructure, and platform constraintsEnsure use cases are technically viable and aligned with platform capabilities before executionIdentify gaps early and guide teams toward executable pathwaysWorkload Translation, Architecture & Platform RoutingTranslate use cases into executable workload designs, including compute, storage, orchestration, and data requirementsDefine how workloads are deployed across AI Factory, HPC, and hybrid environmentsLeverage experience with containerized and distributed systems (e.g., Kubernetes, HPC schedulers) to ensure workloads are production-readyDevelop reusable patterns to standardize workload deployment and scalingPlatform Onboarding & ExecutionDrive onboarding of workloads into platform environments, ensuring all technical prerequisites are metWork closely with engineering and platform teams to ensure workloads are successfully deployed and runningTroubleshoot and resolve issues across the full stack, from infrastructure to application behaviorEnsure workloads progress from onboarding to first successful executionGovernance Integration & Execution PathwaysEmbed governance, compliance, and prioritization frameworks into execution pathways, ensuring use cases are not only approved but operationally viableEnsure governance decisions are reflected in how workloads are structured, routed, and executedAct as a bridge between governance intent and real-world platform executionHelp ensure that governance is not only defined, but consistently applied through real execution practicesOutcomes, Performance & ScalingEnsure workloads progress to successful execution and measurable outcomes aligned with business needsIdentify performance, scaling, and reliability challenges in real-world environmentsEstablish feedback loops to inform platform, architecture, and process improvementsContribute to scaling patterns across multiple use cases and domainsCross-Functional LeadershipConnect and align business domain teams, RDT AI teams (such as Applied AI), platform engineering, and infrastructure teams to enable successful workload executionInfluence decisions across organizational boundaries to ensure successful deliveryProvide clarity on execution pathways, risks, and constraintsContribute to shaping how the AI Factory ecosystem operates end-to-endPerformance & OptimizationTrack and improve time-to-value from use case intake to first successful executionIdentify cross-team bottlenecks and optimization opportunities across intake, translation, and executionContribute to continuous improvement of workflows and operating modelsQualificationsEducation / ExperienceBachelor’s degree or advanced degree in Computer Science, Engineering, or a related disciplineStrong experience in AI/ML platforms or HPC environmentsHands-on experience with containerized workloads and orchestration (e.g., Kubernetes, CaaS) and/or HPC scheduling environmentsProven ability to take workloads from concept to running systemsComfortable working across infrastructure, platform, and application layersExperience collaborating with both technical teams and business/domain stakeholdersTechnical SkillsUnderstanding of AI/ML or HPC workload characteristicsExperience with cloud and/or on-premise compute environmentsFamiliarity with orchestration frameworks (Kubernetes, Slurm, etc.)Ability to diagnose and resolve issues in real runtime environmentsAbility to connect technical solutions to business outcomes and use case needsStrong systems thinking and problem-solving skillsLeadership SkillsAbility to influence without authority across engineering, AI, and business stakeholdersStrong ownership mindset, driving work through to execution and outcomesComfortable operating in ambiguity and shaping new ways of workingEnterprise mindset with strong collaboration across organizational boundariesBias toward action and solving real problems, not just defining themWho we areA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.Let’s build a healthier future, together.Roche is an Equal Opportunity Employer.Sourced from LinkedIn. Relocantly aggregates public job postings; apply on the original site.