Senior Staff Engineer, Design For Test - Automation & Infrastructure (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Staff Engineer, Design For Test - Automation & Infrastructure (AI): Developing automated tools and infrastructure for DFT workflows to enhance productivity and design quality in AI, 5G, and 6G markets with an accent on tool creation, regression management, and metric analysis. Focus on architecting Python-based automation frameworks, solving systemic bottlenecks in chip design, and scaling DFT execution across the organization.
Location: Ottawa, Canada. Applicants must be eligible to access export-controlled information under U.S. export control laws.
Salary: 132,800 - 177,100 CAD per annum
Company
is a semiconductor solutions provider creating essential building blocks for data infrastructure across enterprise, cloud, and AI architectures.
What you will do
- Architect and develop automated tools and frameworks for tracking project progress and managing large-scale regression runs.
- Design Python-based infrastructure for workflow automation and create real-time project visibility dashboards.
- Identify bottlenecks and inefficiencies in DFT execution to translate them into systematic solutions.
- Establish standardized methodologies and best practices for DFT automation across multiple concurrent projects.
- Mentor engineering teams on methodology adoption and continuous improvement practices.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering or related fields (5-10 years exp) or Master's/PhD (5-8 years exp).
- 5+ years of experience in custom chip design with expertise in SCAN, MBIST, validation, STA, and IP-DFX flows.
- Proficiency in Python for tool development, data analysis, and automation.
- Strong Unix/Linux skills including shell scripting (bash, csh), make, sed, and awk.
- Experience with data visualization, dashboard creation, and DevOps practices.
- Eligibility to access export-controlled information as defined under U.S. export control laws (EAR).
Nice to have
- Knowledge of and experience with AI tools and techniques for code generation, tool development, and data analysis.
Culture & Benefits
- Competitive compensation and comprehensive benefits package.
- Environment of shared collaboration, transparency, and inclusivity.
- Access to tools and resources designed for professional growth and development.
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