G
Senior Technical Program Manager, Chip DevOps and Methodology
·Israel
On-siteFull-timeProject ManagementSemiconductors
Lead technical programs to standardize chip design methodology and scale infrastructure. Manage EDA tools, compute grids, and CI/CD pipelines. Drive cross-functional collaboration with design, verification, CAD, and infrastructure teams to deliver a unified engineering environment.
Responsibilities
- Drive the definition and company-wide adoption of a unified design and verification methodology, including coding standards, automated checks, PDK management, and IP reuse protocols.
- Define and manage complex infrastructure and CAD roadmaps, ensuring projects are completed on time, within budget, and with minimal disruption to design timelines.
- Manage deployment, licensing, and scaling of EDA tools (e.g., Synopsys, Cadence, Siemens) across hybrid or cloud-based environments, ensuring strict adherence to the unified methodology.
- Lead initiatives to optimize high-performance computing clusters, storage, and cloud instances to handle massive simulation, synthesis, and physical design workloads.
- Drive the strategy and implementation of automated workflows and continuous integration/continuous verification (CI/CD) pipelines.
Requirements
- Bachelor's degree in a technical field or equivalent practical experience.
- 8 years of experience as a technical program manager or engineering lead.
- Experience driving or supporting unified design/verification methodologies (e.g., standardized UVM frameworks, unified linting/CDC rules, automated regression tracking).
- Experience with the front-to-back silicon design lifecycle (e.g., RTL design, verification, synthesis, STA, place and route, tape-out).
- Experience with cloud platforms optimized for HPC, grid computing (e.g., LSF, Slurm), and massive storage architectures.
- Experience managing infrastructure and centralized configuration profiles for EDA tool suites.
Nice to have
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.
- Experience managing complex vendor relationships (EDA vendors, cloud providers) and forecasting infrastructure compute budgets.
- Familiarity with modern infrastructure-as-code and automation tools (e.g., Terraform, Ansible, Jenkins, Gitlab CI) adapted for hardware workflows.
- Proficiency in managing infrastructure and CAD roadmaps using Agile, Scrum, or Kanban frameworks tailored for hardware timelines.
- Exceptional ability to translate complex technical infrastructure and methodology needs into clear business/program outcomes for executives and vice versa.