6 дней назад
Senior Principal Automation Engineer (Cloud HPC)
205 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Principal Automation Engineer (Cloud HPC): Architecting and scaling cloud-native CI/CD, HPC, EDA, and semiconductor design workflows with an accent on cost optimization, data lakes, and AI-assisted automation. Focus on building automated validation and telemetry systems, integrating engineering and enterprise workflows, and defining resilient automation strategy across design, HR, Legal, and Finance.
Location: San Jose, California, United States
Salary: $205,000–$260,000 per year, depending on experience, level, and business need. Discretionary bonus, incentives, and benefits may be available.
Company
provides rack-scale AI infrastructure through connectivity solutions based on CXL, Ethernet, NVLink, PCIe, UALink, and its COSMOS software suite.
What you will do
- Architect and optimize cloud-native CI/CD pipelines, automation libraries, compute clusters, virtual runners, and secure infrastructure for ASIC and SoC development.
- Optimize front-end and back-end semiconductor workflows, including RTL, simulation, verification, physical design, place-and-route, and timing closure.
- Own cloud HPC strategy, including auto-scaling, job scheduling, license-aware scheduling, throughput optimization, and cost-per-run reduction.
- Build a centralized data lake for HPC, CI/CD, license, and design-tool telemetry, with dashboards for engineers, managers, and executives.
- Develop AI-assisted telemetry for regression triage, failure analysis, root-cause debugging, forecasting, and automation tooling.
- Support automation across employee lifecycle, Legal, and Finance workflows through APIs, event-driven triggers, controls, audit trails, and enterprise integrations.
Requirements
- BS, MS, or PhD in Computer Science, Electrical Engineering, Software Engineering, or a related technical discipline.
- 20+ years of progressive technical experience, including 10+ years in CAD infrastructure, cloud HPC, or build and release automation.
- Deep experience running HPC and EDA workloads natively in the cloud, preferably AWS, with demonstrated cost optimization expertise.
- Knowledge of front-end and back-end semiconductor design flows and experience with data lakes, telemetry, and role-specific dashboards.
- Expertise with Jenkins, GitHub Actions, Python, Shell/Bash, Tcl, Linux/Unix administration, and AI coding platforms including Claude Code, Cursor, and GitHub Copilot.
- Experience automating HR, Legal, Finance, or IT service-management processes while meeting SOX, access-review, audit, privacy, and data-retention requirements.
Culture & Benefits
- Principal-level ownership of the cloud infrastructure investment strategy and long-term automation roadmap.
- Cross-functional collaboration with design, verification, IT, data, HR, Legal, and Finance teams.
- Opportunity to establish standardized, resilient, cost-transparent engineering environments across the organization.
- Potential eligibility for discretionary bonuses, incentives, and benefits.
- Commitment to diverse ideas, backgrounds, and experiences.
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