10 дней назад
Senior Engineer (Test Solutions Engineering) (Semiconductor)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Engineer (Test Solutions Engineering) (Semiconductor): Developing ATE production test solutions for custom silicon products from early design through high-volume manufacturing readiness with an accent on test planning, yield validation, reliability, and fault analysis. Focus on characterizing silicon variation, defining robust test margins, optimizing test efficiency, and collaborating with design, DFT, operations, reliability teams, and customers.
Location: Singapore
Company
develops semiconductor solutions for enterprise, cloud, AI, and carrier data infrastructure.
What you will do
- Develop ATE production test solutions for custom silicon products from early design through high-volume manufacturing readiness.
- Create test plans, define experiments, and analyze data to validate product yield, performance, and reliability.
- Develop and refine screening methods based on application conditions, DFT capabilities, timing margins, and process technology specifications.
- Characterize silicon variation, investigate operating limits, and perform failure root-cause analysis.
- Establish test margins that protect yield and improve product quality while optimizing test time.
- Collaborate with design, DFT, operations, reliability teams, and customers on test strategy, coverage, quality, and product schedules.
Requirements
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- At least 2 years of experience in product engineering, test engineering, DFT, or technology characterization.
- Experience with product engineering and test development, ATE, design-for-test methodology, statistics and data analysis, semiconductor process technology, or reliability and qualification methodologies.
- Strong verbal and written communication skills, with the ability to explain complex technical results to engineering and cross-functional audiences.
- Strong analytical and problem-solving skills, including root-cause analysis and engineering decision-making under ambiguity.
- Programming or scripting experience with Python, Perl, or R in a Linux environment.
Nice to have
- Experience applying AI and machine learning tools to data analysis, test optimization, or yield learning.
Culture & Benefits
- Collaborative, transparent, and inclusive work environment.
- Competitive compensation and benefits.
- Eligibility for bonus and equity plans, including a new-hire equity grant and annual equity refreshers.
- Resources and development opportunities supporting long-term professional growth.
Hiring process
- Interviews assess individual experience, thought process, and communication skills in real time.
- AI tools, transcription applications, automated answer generators, and automated note-taking bots are not permitted during interviews.
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