Senior Staff Cloud Architect

Please Note:

To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. 

Advancing the World’s Technology Together

Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. 

We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.

Please Note:

To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. 

Advancing the World’s Technology Together

Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. 

We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.

We are looking for a Sr. Staff Cloud Architect to lead the strategic design and evolution of our high-performance computing (HPC) and Semiconductor (EDA) cloud ecosystems. This role is designed for a technical visionary who can modernize traditional silicon engineering workflows by integrating scalable cloud-native architectures, advanced automation, and AI-driven insights.

You will be responsible for building the bridge between legacy on-premises constraints and the limitless scale of the cloud, ensuring our engineering teams have the most efficient, automated, and performant environment in the industry.

Location: Onsite at our San Jose, CA headquarters 5 days a week

What You’ll Do

• Global Infrastructure Strategy: Architect and manage multi-region, large-scale cloud environments (AWS/Azure) specifically optimized for compute-intensive EDA workloads (Simulation, Characterization).
• HPC Orchestration & Efficiency: Design and optimize distributed scheduling systems (e.g., LSF, Slurm, or Grid Engine) to manage tens of thousands of concurrent jobs with maximum throughput and cost efficiency.
• Next-Gen Automation (AIOps): Pioneer the use of Generative AI and Machine Learning to predict workload peaks, automate infrastructure scaling, and develop agentic frameworks for autonomous system health management.
• Data & Storage Engineering: Implement high-performance data strategies using enterprise storage solutions (e.g., FSx, NetApp) and hybrid-cloud caching to minimize latency in global collaborative environments.
• Security & Compliance: Establish robust, secure-by-design frameworks for sensitive engineering data, ensuring compliance with global semiconductor IP protection standards.
• Global Collaboration: Act as a strategic bridge between the US-based infrastructure team and the headquarters in Korea to ensure architectural alignment and seamless workload migration.
• Technical Evangelism: Act as a thought leader by publishing technical guidance, participating in industry standard-setting bodies, and mentoring a global team of infrastructure engineers.

What You Bring

• Education & Experience: B.S. or higher in Computer Science, Electrical Engineering, or a related field, with relevant experience of 15+ years (B.S.), 13+ years (M.S.), or 10+ years (PhD), or equivalent.
• Domain Expertise: 5+ years dedicated to Semiconductor/EDA ecosystem support.
• Cloud & Infrastructure: Proven expertise in AWS and Azure architecture, including container orchestration (EKS/AKS), serverless computing, and Infrastructure as Code (Terraform, CDK, or CloudFormation).
• Systems: Expert-level knowledge of Linux kernel tuning and distributed file systems.
• Silicon Design: Deep understanding of the silicon design lifecycle, along wit