Job Description
About The Business
Tata Semiconductor Manufacturing Private Limited (TSMPL) is a greenfield venture of the Tata Group with expertise in manufacturing precision components.
TSMPL (a wholly owned subsidiary of Tata Sons Pvt. Ltd.) is building Indias first AI-enabled state-of-the-art Semiconductor Foundry. This facility will produce chips for applications such as power management IC, display drivers, microcontrollers (MCU) and high-performance computing logic, addressing the growing demand in markets such as automotive, computing and data storage, wireless communications and artificial intelligence
TSMPL is a subsidiary of the Tata group. The Tata Group operates in more than 100 countries across six continents, with the mission ''To improve the quality of life of the communities we serve globally, through long term stakeholder value creation based on leadership with Trust.
Responsibilities
- Own responsibilities for transferring 28110 nm technology datahandling procedures from partner facilities; work closely with Fab teams to ensure smooth and accurate technology transfer.
- Manage integration and maintenance of datahandling rules across 28110 nm platform technologies, including dummy insertion, Boolean implant operations, sealring insertion, slot insertion, and DRC enforcement.
- Collaborate closely with Fab teams (LT, PEI, Metrology, etc.) to implement, validate, and continuously improve datahandling requirements.
- Develop and maintain datahandling programming in UNIX/Linux environments.
- Design and build automated datahandling systems to improve robustness, scalability, and efficiency.
- Coordinate with vendors to define and standardize data information and formats (e.g., chip and frame data after OPC, after dummy insertion, and related processing steps).
Essential Attributes
- Ability to manage and mentor datahandling projects effectively.
- Proficiency with deck/programming tools such as TCL/TK, Python, and Calibre.
- Highly selfmotivated, able to work independently, and driven to achieve results.
- Strong communicator with an inclusive and collaborative style.
- Team player with proven ability to work across diverse, global crossfunctional teams.
- Collaborative by naturebuilds strong relationships, offers support humbly, and welcomes diverse perspectives.
- Innovative and creative, proactively exploring new ideas and adapting quickly to change.
Qualifications
- Bachelor or M.S in Electrical Engineering, Science Engineering or IT Engineering or equivalent
- Strong understanding of data handling procedures and CAD deck requirements.
- Deep understanding of Data handling software such like Calibre / Aether/Skipper ..
- Ability to work across different cultures and geographies
- Good team player
- Innovation and competitive mindset
Desired Experience Level
- 10+ years experience in the semiconductor industry, most of which will be in the Data handling / Mask field
- Proven track record of successfully developing new technologies into high volume production
- Proven problem solving skills using design of experiments and analytical tools
About The Business
Tata Semiconductor Manufacturing Private Limited (TSMPL) is a greenfield venture of the Tata Group with expertise in manufacturing precision components.
TSMPL (a wholly owned subsidiary of Tata Sons Pvt. Ltd.) is building Indias first AI-enabled state-of-the-art Semiconductor Foundry. This facility will produce chips for applications such as power management IC, display drivers, microcontrollers (MCU) and high-performance computing logic, addressing the growing demand in markets such as automotive, computing and data storage, wireless communications and artificial intelligence
TSMPL is a subsidiary of the Tata group. The Tata Group operates in more than 100 countries across six continents, with the mission ''To improve the quality of life of the communities we serve globally, through long term stakeholder value creation based on leadership with Trust.
Responsibilities
- Own responsibilities for transferring 28110 nm technology datahandling procedures from partner facilities; work closely with Fab teams to ensure smooth and accurate technology transfer.
- Manage integration and maintenance of datahandling rules across 28110 nm platform technologies, including dummy insertion, Boolean implant operations, sealring insertion, slot insertion, and DRC enforcement.
- Collaborate closely with Fab teams (LT, PEI, Metrology, etc.) to implement, validate, and continuously improve datahandling requirements.
- Develop and maintain datahandling programming in UNIX/Linux environments.
- Design and build automated datahandling systems to improve robustness, scalability, and efficiency.
- Coordinate with vendors to define and standardize data information and formats (e.g., chip and frame data after OPC, after dummy insertion, and related processing steps).
Essential Attributes
- Ability to manage and mentor datahandling projects effectively.
- Proficiency with deck/programming tools such as TCL/TK, Python, and Calibre.
- Highly selfmotivated, able to work independently, and driven to achieve results.
- Strong communicator with an inclusive and collaborative style.
- Team player with proven ability to work across diverse, global crossfunctional teams.
- Collaborative by naturebuilds strong relationships, offers support humbly, and welcomes diverse perspectives.
- Innovative and creative, proactively exploring new ideas and adapting quickly to change.
Qualifications
- Bachelor or M.S in Electrical Engineering, Science Engineering or IT Engineering or equivalent
- Strong understanding of data handling procedures and CAD deck requirements.
- Deep understanding of Data handling software such like Calibre / Aether/Skipper ..
- Ability to work across different cultures and geographies
- Good team player
- Innovation and competitive mindset
Desired Experience Level
- 10+ years experience in the semiconductor industry, most of which will be in the Data handling / Mask field
- Proven track record of successfully developing new technologies into high volume production
- Proven problem solving skills using design of experiments and analytical tools
No Referrers Available
There are currently no referrers available for this job. You can still apply, will let you know once there is any referrer available.
