Principal CAD Software Engineer
Microsoft · microsoft.com
Mountain ViewLead / Manager3+ yrs
Straight from the company’s own careers site.
The job in short
Lead CAD DevOps software engineering for chip design tools.
PythonC++AzureDevOpsSOCLegal
Details
- Found
- 5 d ago · posted 2026-11-09
- Location
- Mountain View, CA, US
Full description
In the Principal CAD DevOps Software role, you will: Be a leader in a central CAD Software team that develops a common tool stack to internal SoC and IP designs. Lead technical strategy and execution for CAD DevOps workflows, including CI/CD, cloud-based EDA environments, and automation frameworks. Lead team to follow industry-standard software practices withing the CAD Software ream. Work in close collaboration with the CAD Hardware and Compute infrastructure teams. Design software solutions and documentation that scale to a large user base. Develop, enhance, and integrate CAD Flows and automation for organization-wide use. Use AI-assisted tools to explore approaches, draft code and tests, investigate defects, and improve documentation Review and validate AI-generated work for correctness, security, maintainability, and alignment with project requirements Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 3+ years technical engineering experience OR Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 6+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 8+ years technical engineering experience OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations or Export Administration Regulations, the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their US. residency or other protected status (e.g., under 8 U.S.C. 1324b(a)(3)) for assessment of eligibility to access the export-controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate's citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable. Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 5+ years technical engineering experience OR Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 8+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 12+ years technical engineering experience OR equivalent experience. 2+ year(s) experience working on or leading projects from beginning-to-end. 7+ years of software development experience. Knowledge of common programming paradigms, including object-oriented and functional programming. Proven leadership skills with a track record of influencing stakeholders. Proficiency in industry-standard programming and scripting languages such as Python, Tcl, Perl, and C/C++, with Python preferred. Demonstrated ability to independently own, maintain, and drive complex software projects. Knowledge of software development practices and software design patterns. Experience owning and driving the end-to-end software development lifecycle for multiple complex projects. Well-rounded understanding of silicon design tools, flows, and methodologies. Expertise in Azure environments, Azure security, and DevOps concepts. Experience with continuous integration systems and practices. Understanding of computer architecture and CPU/SoC design principles. Experience with design and verification execution, flows, and supporting infrastructure. Practical experience using AI coding assistants or language models in a development workflow Ability to write clear instructions for AI tools, assess their limitations, and independently verify their results
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