What You'll Be Doing
Define and maintain a single, opinionated set of KPIs and metric definitions that describe health, performance, utilization, and cost across the EDA/HPC estate.
Build executive-ready dashboards and narratives that connect capacity, turnaround time, availability, and spend to concrete decisions and timelines.
Translate stakeholder questions from engineering leadership, R&D users, capacity planners, and operations into prioritized analytics requirements, clearly accepting, consolidating, or declining requests.
Partner with Observability and data platform teams to integrate data sources, validate data quality, and operationalize reliable pipelines and semantic layers for reporting.
Lead demand forecasting and scenario planning, producing capacity options and investment recommendations across on-prem and cloud.
Define and operationalize SLIs/SLOs for critical infrastructure services, improving alerting and surfacing reliability and capacity risks before they become incidents.
Drive post-incident follow-through by quantifying impact, identifying systemic failure patterns, and prioritizing durable fixes and automation that reduce recurring toil.
The Impact You Will Have
Create one trusted, shared view of the EDA/HPC estate that replaces competing spreadsheets and anecdotal decision-making.
Enable faster, higher-confidence capacity and cloud decisions through forecasts, scenarios, and risk trade-offs tied to real project milestones.
Improve engineer productivity by reducing avoidable wait time and unplanned slowdowns through earlier detection of bottlenecks and constraints.
Increase infrastructure cost efficiency by making utilization, waste, and unit economics visible and actionable across teams.
Strengthen operational maturity with SLO-driven practices that reduce alert noise, clarify service commitments, and focus effort on what matters most.
Reduce repeat incidents and recovery time by surfacing systemic failure patterns and driving durable remediation and automation.
Improve cross-functional alignment by establishing shared definitions, governance, and planning cadences that keep stakeholders moving in the same direction.
What You'll Need
You have deep, hands-on understanding of EDA/HPC shared infrastructure and how engineering workflows behave across compute farms, schedulers, license services, storage, networks, interactive environments, and cloud.
You bring a strong quantitative mindset and comfort turning messy operational data into clear insights using SQL, Python (or similar), and modern analytics tooling.
You have a track record of defining meaningful SLIs/SLOs, improving instrumentation, and building alerting that drives action rather than noise.
You have owned requirements and metric definitions in partnership with observability and data platform teams, aligning on data sources, semantics, and data quality.
You bring a proactive reliability approach, using automation, guardrails, and continuous improvement to reduce toil and prevent recurring issues.
You have led cross-functional infrastructure initiatives end-to-end through ambiguity, aligning stakeholders and delivering outcomes amid competing priorities.
You bring clear, executive-ready communication, translating technical trade-offs into decisions that balance reliability, performance, cost, and long-term sustainability.
Who You Are
You are decisive about what matters, consistently turning many competing requests into a small set of high-leverage questions and priorities.
You approach ambiguity with structure, making assumptions explicit, testing them quickly, and updating your direction as evidence changes.
You communicate with precision and calm under pressure, keeping teams aligned on restoration, learning, and durable follow-through.
You build trust through transparency, inviting critique early, sharing context openly, and closing loops reliably with stakeholders.
You challenge ideas constructively, surfacing trade-offs and second-order effects while keeping the conversation grounded in outcomes.
The Team You'll Be Part Of
The role sits on the IT Infra Platform Team, which runs the compute, storage, license, and cloud infrastructure Synopsys R&D relies on to design and verify products across sites, on-prem, and in the cloud. This position serves as the analytics and insights lead for the EDA/HPC estate, partnering closely with R&D engineering groups, CAD and flow teams, the Observability team, and finance to align capacity, reliability, and cost decisions.
Rewards and Benefits
We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
