About SiTime
SiTime is the Precision Timing company.
Timing is the heartbeat of all electronics, ensuring performance, resilience and scalability. For decades, quartz devices, non-silicon technology, have kept systems in sync, but they struggle in harsher, more demanding environments. MEMS-based Precision Timing delivers greater accuracy, smaller size and resilience. Today, MEMS timing powers over 400 applications, including high-growth ones in AI datacenters, automated driving, industrial and humanoid robots, wearables and IoT.
Our semiconductor MEMS programmable solutions offer a rich feature set that enables customers to differentiate their products with higher performance, smaller size, lower power, and better reliability. With more than 4 billion devices shipped, SiTime is changing the timing industry. For more information, visit: www.sitime.com.
Job Summary
In this role, the candidate will support Foundry technical interface for SiTime. The key responsibilities include the following.
It is not necessary to meet all job requirements to be a qualified candidate for the position.
Responsibilities:
- Lead Foundry yield improvement through mitigation of systematic and parametric yield detractors
- Manage Foundry yield excursion and implementation of Continuous Improvement Plan.
- Manage Foundry safe launch
- Provide technical guidance on Foundry Fab transfer projects
- During development, direct wafer lot progress, process skew splits and DOE strategies
- Support device performance analysis for mixed signal devices.
- Manage compliance with fab yield, E-test, WAT, inline Cp/CpK metrics
- Experience with AI/ML predictive modeling to improve projection accuracy for test chips and high-volume products, including correlation of inline process metrics with end-of-line yield and performance, is a plus.
- Serve as technical liaison to the Foundries, communicate status of process health monitors to internal stakeholders, drive on time wafer out from the fab, continuous improvement deliverables and resolution of critical technical escalations.
Qualifications & Requirements:
- Minimum requirements are a Master’s degree with 13+ years of experience or a PhD with 10+ years of industry experience in a relevant engineering or physical-science field, including Semiconductor Process Integration, Device Engineering, or Wafer Yield Engineering.
- English proficiency is required, including the ability to effectively communicate, collaborate, and perform job responsibilities in a professional business environment.
- Proven track record in yield pareto construction, modeling, projection, and the development of long-term yield roadmaps.
- Experience in using PDF Exensio or other Big Data Analysis tools.
- Extensive experience collaborating with foundries.
- Experience in porting between fabs.
- Expertise in interpreting complex product data (inline, e-test, and SORT) to drive organization-wide solutions.
- Deep knowledge of semiconductor wafer inline inspection methods and SORT programs.
- Deep knowledge of semiconductor device reliability
- Well versed with DFM techniques and PFMEA
- Experience in supporting semiconductor wafer fulfillment for products that require to meet Automotive AEC_Q100, ISO 26262 standards.
- Strong Leadership and ability to set standards and drive to targets.
- This position requires clear, accurate and timely communication both written and verbally.
- Strong attention to detail, project management and organization skills, and ability to manage multiple projects at the same time in a fast-paced environment with minimal supervision.
Desired Characteristics & Attributes:
- Strong team worker within multi-disciplinary and multi-cultural environments. Show inherent sense of urgency and accountability.
- Excellent communication, presentation, interpersonal and team-work skills.
- Highly motivated self-starter with a ‘can-do’ attitude, out-of-the-box thinking, with a willingness to take informed risks to achieve organization goals.
Compensation Range:
At SiTime, we believe great work deserves great rewards. We offer a comprehensive and highly competitive compensation package designed to attract top talent.
The annual base salary range for this role is $148,320 - $203,940.The final offer is determined by factors such as location, experience, education, and training.
In addition to base salary, this role is eligible for a quarterly bonus tied to the achievement of innovation goals—reflecting our commitment to recognizing meaningful impact. We also offer equity grants, providing a meaningful opportunity to share in the company’s future growth and success.
Benefits offered: 401k plan, health and wellness that includes medical, dental, vision, life, parental leave, legal services, and time off plans.
SiTime is an Equal Opportunity Employer. We treat each person fairly and we do not tolerate discrimination or harassment against anyone on the basis of any protected characteristics, including race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, pregnancy, political affiliation, protected veteran status, protected genetic information, or marital status or other characteristics protected by law. SiTime participates in the E-Verify program.
Learn More about SiTime: Review the Get to Know SiTime section of our career page to explore our culture, values, and what makes us unique.
- Innovation on Top – Philosophies of Innovation with Rajesh Vashist
- Fabrication Knowledge – An Interview with Rajesh Vashist
- SiTime Corporation – YouTube
SiTime Santa Clara, California, USA Office
5451 Patrick Henry Drive, Santa Clara, CA, United States, 95054
Similar Jobs
.jpeg)
.png){kind=logo}
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
