Altera .# **Job Details:**### ## **Job Description:****About the Role:**The **Director of EDA Cloud & HPC Architecture** is a senior technical leadership role responsible for defining and driving the overall cloud, compute, and high‑performance infrastructure strategy powering Altera’s next-generation EDA (Electronic Design Automation) environments.You will architect scalable HPC systems for large compute workloads, modernize EDA flows for cloud-native operation, and work cross‑functionally with engineering, IT, product, and silicon architecture teams to ensure infrastructure that accelerates design productivity and FPGA innovation.This role combines deep EDA toolchain understanding, HPC performance engineering, and cloud architecture leadership.**Key Responsibilities:****HPC & Compute Architecture Leadership*** Lead the architecture, design, and scaling of high-performance compute clusters supporting EDA flows and large‑scale simulation workloads, ensuring optimal performance, resilience, and throughput.* Drive HPC performance modeling, workload optimization, and adoption of new compute architectures (GPU/FPGA‑accelerated, heterogeneous compute).* Define roadmaps for future HPC expansion, including hybrid on‑prem and cloud HPC models.**Cloud & Infrastructure Strategy*** Architect and implement cloud-based EDA environments enabling elastic compute, distributed workflows, and modern DevOps-driven CI/CD for design tools.* Develop cloud migration strategies for critical engineering infrastructure, including compute, storage, and design environments.* Establish cost‑optimized multi‑cloud and colocation compute strategies aligned with engineering needs.**EDA Platform Enablement*** Partner with EDA tool engineering to ensure infrastructure is optimized for front-end and back-end design flows, simulation, verification, timing analysis, and ML‑assisted design tools.* Enable AI-accelerated EDA flows by integrating compute platforms and cloud pipelines with emerging LLM/AI‑driven tool features (e.g., intelligent design copilots).* Drive architectural decisions supporting massive-scale RTL builds, compilation, synthesis, P&R, and FPGA bitstream generation.**Operations, Security & Governance*** Oversee global EDA compute infrastructure operations including clusters, storage fabrics, job schedulers, and engineering data services.* Define and enforce high-assurance lab and cloud security policies, including patching, software controls, and compliance frameworks.* Implement monitoring, reliability engineering, and performance KPIs to ensure uninterrupted service for engineering teams.**Cross-Functional & Executive Leadership*** Collaborate with silicon, software, architecture, IT, and solutions teams to align infrastructure with business objectives.* Drive vendor strategy and negotiate key HPC, cloud, and infrastructure partnerships.* Represent Altera in internal and external technical forums as a thought leader in cloud‑native EDA and HPC innovation.**Salary Range**The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.**$200,400 - $290,000 USD**We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.### ## **Qualifications:****Minimum Qualifications*** Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.* 12+ years in HPC, cloud architecture, or EDA infrastructure roles, with at least 5 years leading large technical teams.* 8+ years of deep expertise with HPC clusters, schedulers (LSF/Slurm), blades/servers, fabric networking, distributed storage, and large-scale compute optimization.* 10+ years of experience in EDA workflows, compute-heavy design environments, or semiconductor design infrastructure.* Experience architecting production cloud environments (AWS, Azure, GCP).* Proven ability to define long-term architecture roadmaps and execute complex cross-functional initiatives.**Preferred Qualifications*** Experience with custom compute architectures.* Familiarity with AI-assisted EDA, ML model training pipelines, or LLM-driven automation strategies.* Prior leadership in semiconductor or EDA companies.### ## **Job Type:**Regular### ## **Shift:**Shift 1 (United States of America)### ## **Primary Location:**San Jose, California, United States### ## **Additional Locations:**### ## **Posting Statement:**All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
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