AI/HPC Value Engineer: From Use Case to Run

Roche & Company; Madrid; Presencial; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

Roche seeks a senior AI/ HPC-focused engineer to translate use cases into executable workloads within the ACE Value Engineering & Outcomes (VEO) team. You will bridge business goals with platform capabilities, drive onboarding into AI Factory and HPC infrastructure, and ensure scalable, governance-aligned execution across hybrid environments.

You will collaborate with RDT AI teams, platform engineering, and data domains to define pathways, improve throughput, and deliver measurable outcomes for

Formación

• Bachelor’s degree or advanced degree in Computer Science, Engineering, or a related discipline.
• Strong experience in AI/ML platforms or HPC environments.
• Hands-on experience with containerized workloads and orchestration (e.g., Kubernetes, CaaS) and/or HPC scheduling environments.
• Proven ability to take workloads from concept to running systems.
• Comfortable working across infrastructure, platform, and application layers.
• Experience collaborating with both technical teams and business/domain stakeholders.
• Understanding of AI/ML or HPC workload characteristics.
• Experience with cloud and/or on-premise compute environments.
• Familiarity with orchestration frameworks (Kubernetes, Slurm, etc.).
• Ability to diagnose and resolve issues in real runtime environments.
• Ability to connect technical solutions to business outcomes and use case needs.
• Strong systems thinking and problem-solving skills.

Responsabilidades

• Clarify, structure, and challenge AI and HPC use cases with domain teams.
• Assess readiness, dependencies, and feasibility across data, infrastructure, and platform constraints.
• Ensure use cases are technically viable and aligned with platform capabilities before execution.
• Identify gaps early and guide teams toward executable pathways.
• Translate use cases into executable workload designs, including compute, storage, orchestration, and data requirements.
• Define how workloads are deployed across AI Factory, HPC, and hybrid environments.
• Leverage containerized and distributed systems to ensure workloads are production-ready.
• Develop reusable patterns to standardize workload deployment and scaling.
• Drive onboarding of workloads into platform environments, ensuring prerequisites are met.
• Work closely with engineering and platform teams to ensure workloads are running.
• Troubleshoot and resolve issues across the full stack from infrastructure to application behavior.
• Ensure workloads progress from onboarding to first successful execution.
• Embed governance, compliance, and prioritization frameworks into execution pathways.
• Ensure governance decisions are reflected in how workloads are structured, routed, and executed.
• Act as a bridge between governance intent and real-world platform execution.
• Help ensure governance is defined and consistently applied through execution practices.
• Ensure workloads progress to successful execution and measurable outcomes.
• Identify performance, scaling, and reliability challenges in real-world environments.
• Establish feedback loops to inform platform, architecture, and process improvements.
• Contribute to scaling patterns across multiple use cases and domains.
• Connect and align business domain teams, AI teams, platform engineering, and infrastructure teams.
• Influence decisions across organizational boundaries to ensure delivery.
• Provide clarity on execution pathways, risks, and constraints.
• Contribute to shaping how the AI Factory ecosystem operates end-to-end.
• Track and improve time-to-value from intake to execution.
• Identify cross-team bottlenecks and optimization opportunities.
• Contribute to continuous improvement of workflows and operating models.

Conocimientos

AI/ML platforms

HPC environments

Container orchestration

Cross-functional leadership

Systems thinking

Educación

Bachelor’s in CS/Engineering

Herramientas

Kubernetes

Slurm

CaaS

Descripción del empleo

Roche seeks a senior AI/ HPC-focused engineer to translate use cases into executable workloads within the ACE Value Engineering & Outcomes (VEO) team. You will bridge business goals with platform capabilities, drive onboarding into AI Factory and HPC infrastructure, and ensure scalable, governance-aligned execution across hybrid environments.

You will collaborate with RDT AI teams, platform engineering, and data domains to define pathways, improve throughput, and deliver measurable outcomes for