96 Jobs in Robertsonpet
Transportation Specialist, SWA- Ops Integration
Posted today
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Job Description
This role is based in SWA.
Purview of a Transportation Specialist
In this role, the candidate will work with business and operations team to solve customer escalations, analyze historic results, initiate programs - all in an environment of rapid growth and increasing complexity. Candidate will drive improvements to the visibility tools, methods, and processes utilized by the team to increase the availability and granularity of actionable data to internal and external partners. The successful candidate must show significant ownership on customer issues and proactively initiate SOPs and process changes as required. He/she will be passionate about their work, detail-oriented, and have excellent problem-solving abilities. He/she will have superb communication and customer-relationship skills, good analytic insight, and be a passionate advocate of customer to other stakeholders. He/she will drive towards simple, scalable solutions to difficult problems, and have excellent project-management skills.
Responsibilities include, but are not limited to:
Communication with internal customers (LM, MM, EF, FC, S&OP, Trans Program, etc).
Exceptional written and verbal communication skills with the ability to create and present complex information clearly and concisely.
High attention to detail and proven ability to manage multiple, competing priorities simultaneously with minimal supervision.
Strong analytical, mediation and problem resolution skills.
Demonstrated leadership with a bias towards action, supporting a culture of ownership and learning.
Skilled in collaborative management environment, clear formal and informal communication with members of the remote and local management teams.
Understanding of process improvement techniques
Key job responsibilities
a. Deep dive skills with the data and producing analysis
b. Coordinate with stakeholders and work on permanently resolving these concerns by setting up SOPs/automation
c. Deep dive on Operation and shipper escalations
d. Run defect reduction programs by coordinating with various cross functional teams
e. Develop reports
f. Execute pilots for improving experience
Basic Qualifications
- Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
- Experience with Excel
- Experience with SQL
Preferred Qualifications
- Excellent interpersonal skills
- Demonstrated problem solving skills and analytical skills
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Vendor Specialist, Paid Selling Partner Services
Posted today
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Job Description
About Amazon.com
Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.
About the Role
Account Management- Vendor Specialist
As a Vendor Specialist as part of Paid Selling Partner Services (PSPS) Team of Retail Business Services, you will have the exciting opportunity to help shape and deliver on a strategy for managing Amazon Vendors.
PSPS team is looking for a bright, customer centric, driven, and creative candidate to join our team. You will interface internally with leaders from our Retail and Vendor Services teams and will be responsible for all aspects of the vendor's business with Amazon. You will engage directly with multiple internal teams to optimize the product line for key manufacturers (vendors) on Amazon.com.
You will utilize a wide range of skills and work across major functional areas such as site merchandising, buying, Catalog management, inventory management, finance, operations, and online marketing, to drive the performance of strategic vendor partners at Amazon. In this role you will be focused on the strategic and operational aspects of managing the customer relationships with our vendors.
You will conceive, create, and analyze a wide range of marketing and site merchandising efforts, to include marketing campaigns to grow the vendor's traffic, brand awareness, customer conversion, and revenue on Amazon. Also you will look into strategic and operational aspects of their business with Amazon, root cause analysis of issues and opportunities affecting the vendor's business. In addition, you are expected to proactively identify areas for growing Vendor's business by developing strategies.
Responsibilities Include
· Success will be measured by the performance of your internal teams on input metrics and impact of vendors on creating a great customer experience for buying consumers
· Partnering with the Retail Category Team and managing the vendor relationship by championing the vendor's needs at Amazon
· Build communication channels at all levels, set proper expectations, provide clear status communications, and manage towards a growth plan for the vendors
· Build and execute on a strategic account plan that delivers on key business opportunities and relevant KPIs for the vendors and Amazon
· Work with internal Amazon teams/vendors to improve operational aspects of their business in providing a great consumer experience
· Conduct deep dive analysis on the handled issues for the vendors and publish recommendations and action plans based on data to improve vendor experience
· Provide thought leadership around planning, roadmaps and execution
· Establish long term partnerships with key vendor partners for the group of vendors handled
· Support the launches of new programs, categories and features
· Conduct regular WBR, MBRs with the vendors highlight business metric performance and building action plans
Basic Qualifications
Basic Qualifications and Skills Required
· An understanding of and passion for e-commerce
· Work experience is preferred (5+ years). Relevant experience in Vendor management, Sales, post sales, Account Management, and Business Development in managing B2B Business.
· Exposure to retail buying, retail planning & allocation, product/project management, marketing or e-commerce will be a plus
· Proven analytical skills and demonstrated ability to manage the business "by the numbers".
· Excellent written and oral communication and presentation skills. Ability to express thoughts logically and succinctly. Demonstrated active listening skills, highly consultative and solutions-oriented
· Operate in a fast-moving and sometimes ambiguous environment with full control and responsibility of achieving business objectives
· Develop original ideas, approaches, and solutions to typical, unusual or difficult situations or problems
· Ability to work in teams and ultimately focus on delivering results with high standards
· Attention to detail and capability to work on multiple projects in parallel
Preferred Qualifications
· Lean Six Sigma experience.
· MBA/PGDM qualification.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Account Manager, P3P, P3P
Posted today
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Job Description
The P3P Team is responsible to launch and stabilise the new Go-To-Market for IN Marketplace. This team's end goal is to help P3P sellers deliver best in class customer inputs and vendor experience, sustainably. The P3P Team is looking for a results-driven individual to function as Account Manager for one of the largest sellers on the A.in marketplace. The role owner should be comfortable with rapid pace and ambiguity. They would be the primary relationship manager for said seller, would represent sellers' voice in appropriate internal forums and partner with cross-functional teams for their seller's long-term success.
Key job responsibilities
1) Partner with Seller and Amazon Category/Program/Operations teams to enable seller's day-to-day operations
2) Collaborate with Seller and Amazon Category/Program/Operations teams to enable achievement of seller's key metrics like P3P GV share, MVR launches etc.
3) Partner with Seller and Inventory SME teams to ensure seller's inventory; monitor and control key metrics like UHI/USI/Suppressed Inventory etc.
4) Drive automation adoption and process improvements to enable best in class customer experience; e.g. Driving buying and pricing automation, enabling tax compliance, launching new tools/programs like Grading & Relisting
5) Enabling Seller's long term capability development
6) Being the seller's champion and providing the Voice of the Seller as an input into product development and process improvement, as relevant
Being a new role and team, Account Manager could also expect to interface regularly with leaders across Category/Finance/Legal/PXT, thereby gaining wide exposure and experience
1) 3+ years of account management, sales, vendor management or program management experience
2) MBA from tier-1 B-school
3) Experience using data to influence business decisions
4) Experience driving internal cross-team collaboration, ability to work with multiple stakeholders with different POV
5) Experience with business analysis and/or P&L management
6) Excellent oral and written communication skills
Basic Qualifications
- 3+ years of sales experience
- Experience closing sales and generating revenue
- Experience analyzing data and best practices to assess performance drivers
Preferred Qualifications
- Experience influencing C-level executives
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
AI Leader
Posted 3 days ago
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Job Description
Tata Electronics Private Limited (TEPL) is a greenfield venture of the Tata Group with expertise in manufacturing precision components.
Tata Electronics (a wholly owned subsidiary of Tata Sons Pvt. Ltd.) is building India’s 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.
Tata Electronics 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.’
Job Summary:
We are seeking an experienced and forward-thinking AI Lead to architect and scale AI/ML initiatives across our semiconductor assembly and test operations. This role is pivotal to our smart manufacturing vision—leveraging data, automation, and AI to drive yield improvement, predictive quality, and operational excellence.
Key Responsibilities:
AI Strategy & Execution
- Define and execute the AI/ML roadmap aligned with business and manufacturing priorities. Champion data-driven decision-making across operations.
Use Case Leadership
- Identify and own high-impact AI use cases in areas such as:
- Defect classification & root cause analysis
- Predictive maintenance of equipment
- Process parameter optimization
- Yield and test performance forecasting
Model Development & Deployment
- Lead the design, training, and deployment of machine learning models using production and equipment data. Ensure real-time and scalable inference in factory environments.
Data Ecosystem Enablement
- Collaborate with IT and process engineering to build and optimize the data infrastructure—streamlining access to structured/unstructured data from test equipment, sensors, MES and material handling system.
Cross-Functional Collaboration
- Work closely with manufacturing, quality, test engineering, and IT teams to integrate AI into existing workflows and drive adoption across the plant floor.
Technology & Platform Ownership
- Select and manage AI platforms and MLOps pipelines that meet the reliability and traceability needs of high-volume semiconductor manufacturing.
Team & Capability Building
- Lead a team of ML engineers and data scientists. Hire, mentor, and develop talent while building an AI-first culture across the organization.
Qualifications:
Education: Bachelor or Master’s in Computer Science, Electrical Engineering, Data Science, or related field
Experience:
- 8+ years in AI/ML, including 3+ years in a leadership role
- Strong preference for experience in semiconductor, electronics, or discrete manufacturing environments
Technical Proficiency:
- Expertise in ML frameworks and languages (Python, SQL)
- Experience with edge computing, MLOps, and real-time data processing
- Familiarity with SECS/GEM, OPC-UA, and other fab equipment interfaces
Business & Domain Knowledge:
- Experience driving ROI from AI in manufacturing
Preferred:
- Experience with SPC, Six Sigma, or industrial statistics
- Exposure to digital twin technology or simulation modeling
- Background in industrial automation, smart factory platforms, or IIoT solutions
- Good understanding of OSAT workflows: wafer sort, die attach, wire bond, mold, trim & form, final test
RMS (Reliability Monitoring System) Technical Expert – OSAT
Posted 3 days ago
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Job Description
Tata Electronics (a wholly owned subsidiary of Tata Sons Pvt. Ltd.) is building India’s 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.
Tata Electronics 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.
Role Summary
The RMS Technical Expert will be responsible for the design, deployment, and optimization of Reliability Monitoring Systems in an OSAT (Outsourced Semiconductor Assembly & Test) manufacturing environment. This role requires deep technical expertise in equipment data acquisition, reliability analytics, system integration, and continuous improvement of RMS to support yield, quality, and equipment performance targets.
Key Responsibilities
1. System Development & Maintenance
- Configure, customize, and maintain the RMS platform to capture, process, and analyze equipment health and performance data.
- Develop and optimize RMS data models, rules, and alerts for proactive maintenance and reliability improvement.
- Work with automation engineers to ensure accurate equipment connectivity via SECS/GEM, OPC-UA, MQTT, or other protocols.
2. Integration & Data Flow Management
- Integrate RMS with MES, SPC, FDC, and other manufacturing systems for end-to-end visibility.
- Ensure data quality, accuracy, and real-time availability for engineering and operations teams.
- Collaborate with IT teams for database management, server optimization, and cybersecurity compliance.
3. Reliability & Performance Analytics
- Develop dashboards, reports, and analytical tools to monitor equipment reliability KPIs (MTBF, MTTR, OEE).
- Use RMS insights to recommend and implement preventive/corrective actions to improve tool uptime and process stability.
- Partner with process and maintenance engineers to translate RMS data into actionable reliability programs.
4. Continuous Improvement & Innovation
- Drive enhancements in RMS through advanced analytics, AI/ML models, and predictive maintenance algorithms.
- Identify opportunities to automate RMS workflows and reporting.
- Benchmark RMS performance against industry best practices in semiconductor manufacturing.
Qualifications & Skills
Education:
- Bachelor’s in Electronics, Instrumentation, Computer Science, or related engineering discipline.
- Master’s degree or certifications in manufacturing systems or reliability engineering preferred.
Experience:
- 5–8 years of hands-on experience with RMS, FDC, or equipment monitoring systems in a semiconductor or electronics manufacturing environment.
- Strong understanding of OSAT operations, tool reliability, and equipment maintenance processes.
Technical Skills:
- Expertise in RMS platforms (e.g., Camline, BISTel, PEER Group, Applied E3, or custom solutions).
- Proficiency in industrial communication protocols (SECS/GEM, OPC-UA, MQTT).
- Strong skills in SQL, data visualization tools (Power BI, Tableau), and scripting (Python, JavaScript).
- Experience with AI/ML-based predictive maintenance is an advantage.
Soft Skills:
- Strong analytical and problem-solving mindset.
- Effective communication and cross-functional collaboration skills.
- Ability to work in a fast-paced manufacturing environment with tight deadlines.
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Reporting Leader (Big Data/MES)
Posted 3 days ago
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Job Description
Key Responsibilities:
Reporting & BI Development:
- Build and maintain real-time dashboards and visualizations in Power BI, Tableau, and Grafana.
- Define and implement data cubes and multi-dimensional models for fast, flexible analysis.
- Deliver multiple output format reports meeting OSAT customer needs
- Develop portals for internal and external users to access reports with right level of access control
MES, OEE & Traceability Systems:
- Integrate MES data (e.g., Camstar, FactoryWorks, Critical Manufacturing, Si View) to capture complete product/process traceability .
- Automate OEE tracking including availability, performance, and quality metrics.
- Enable deep-dive root cause and trend analysis using historical equipment/process data.
Data Engineering:
- Design and manage staging tables , stored procedures , and ETL processes to clean, transform, and prepare data from MES, ERP, and external sources.
- Ensure efficient loading and transformation of large datasets into data warehouses or big data platforms .
- Optimize performance of dashboards and queries using indexes, partitions, and pre-aggregated views.
B2B / EDI Integration:
- Manage B2B/ RosettaNet/EDI data exchange with external partners and customers
- Maintain EDI mappings, monitor data quality, and ensure error-free delivery of key documents
- Collaborate with IT and business teams to troubleshoot and enhance partner integration pipelines.
Big Data & Advanced Analytics:
- Enable analytics on unstructured or sensor data from equipment, testers, and traceability logs.
- Support predictive maintenance, yield prediction, and anomaly detection initiatives.
Cross-functional Enablement:
- Work with Manufacturing, Engineering, Quality, and Supply Chain to understand reporting and data needs.
- Train users and promote self-service BI capabilities.
- Act as a thought leader in modern manufacturing analytics and traceability solutions.
Qualifications:
- Bachelor’s or Master’s degree in Engineering, Computer Science, Information Systems, or related.
- 10+ years in a reporting or BI leadership role within a semiconductor , electronics , or OSAT environment.
- Good understanding of MES DB Schema
- Proficient in Power BI (required), with experience in Grafana and Tableau .
- Deep experience with MES systems , OEE metrics , and traceability frameworks .
- Strong understanding of stored procedures , staging areas , and data warehousing best practices .
- Familiarity with OLAP/data cubes and multidimensional data modeling.
- Strong SQL skills and ETL pipeline experience
Key Skills & Competencies:
- Advanced Data Modeling & Engineering
- MES / OEE / ERP Integration
- BI Tools (Power BI, Grafana, Tableau)
- Data Warehouse & Cube Design
- Traceability & Compliance Reporting
- B2B / RosettaNet/ EDI Data Exchange
- Big Data Analytics & Scalability
- Cross-functional Communication
- Continuous Improvement Mindset
Unit-Level Traceability Technical Expert – OSAT
Posted 3 days ago
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Job Description
Tata Electronics (a wholly owned subsidiary of Tata Sons Pvt. Ltd.) is building India’s 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.
Tata Electronics 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.
Role Summary
The Unit-Level Traceability Technical Expert will be responsible for designing, implementing, and sustaining traceability systems that capture, store, and retrieve manufacturing data at the individual unit/device level in an OSAT (Outsourced Semiconductor Assembly & Test) environment. This role ensures compliance with customer requirements, industry standards, and internal quality objectives while enabling advanced analytics for yield, reliability, and process optimization.
Key Responsibilities
1. System Design & Implementation
- Design traceability solutions capable of capturing data for each unit/device across all OSAT manufacturing stages (assembly, test, packaging).
- Define and implement data structures, barcoding/2D marking, and serialization methodologies.
- Collaborate with MES and automation teams for seamless integration of traceability workflows into production systems.
2. Integration & Data Flow
- Integrate traceability systems with MES, ERP (SAP), PLM, QMS, SPC, and equipment automation systems.
- Ensure high-speed, low-latency data capture and retrieval to support manufacturing throughput.
- Work with automation engineers for real-time equipment connectivity (SECS/GEM, OPC-UA, MQTT).
3. Data Management & Compliance
- Define data retention policies with QA, storage architectures, and retrieval mechanisms in line with customer, ISO/IATF, and regulatory requirements.
- Ensure compliance with traceability standards for automotive, aerospace, medical, and semiconductor customers.
- Conduct system audits to validate data accuracy and completeness.
4. Analytics & Reporting
- Build dashboards and reporting tools to provide real-time and historical traceability insights.
- Support root cause analysis, yield improvement, and customer reporting needs.
- Leverage traceability data for predictive analytics and defect correlation.
5. Continuous Improvement & Innovation
- Evaluate and implement Industry 4.0 and AI-driven solutions for automated traceability and defect correlation.
- Benchmark and adopt best practices from global semiconductor manufacturing leaders.
Qualifications & Skills
Education:
- Bachelor’s in Electronics, Computer Science, Manufacturing Engineering, or related field.
- Master’s degree or industry certifications in manufacturing systems preferred.
Experience:
- 5–8 years in manufacturing IT or automation roles, with hands-on experience in unit-level traceability systems.
- Experience in OSAT, semiconductor, or high-volume electronics manufacturing.
Technical Skills:
- Strong knowledge of MES traceability modules and serialization systems.
- Proficiency in database management (SQL, NoSQL) and data visualization (Power BI, Tableau).
- Familiarity with marking and reading technologies (laser marking, 2D/QR/barcode scanning).
- Experience with industrial protocols (SECS/GEM, OPC-UA) and automation integration.
- Knowledge of AI/ML applications in defect correlation and yield improvement (preferred).
Soft Skills:
- Strong analytical skills and detail orientation.
- Effective cross-functional collaboration with engineering, quality, and operations teams.
- Ability to manage multiple projects in a high-pressure manufacturing environment.
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RMS Technical Expert - OSAT
Posted 3 days ago
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Job Description
Role Summary
The RMS Technical Expert will be responsible for the design, deployment, and optimization of Reliability Monitoring Systems in an OSAT (Outsourced Semiconductor Assembly & Test) manufacturing environment. This role requires deep technical expertise in equipment data acquisition, reliability analytics, system integration, and continuous improvement of RMS to support yield, quality, and equipment performance targets.
Key Responsibilities
1. System Development & Maintenance
- Configure, customize, and maintain the RMS platform to capture, process, and analyze equipment health and performance data.
- Develop and optimize RMS data models, rules, and alerts for proactive maintenance and reliability improvement.
- Work with automation engineers to ensure accurate equipment connectivity via SECS/GEM, OPC-UA, MQTT, or other protocols.
2. Integration & Data Flow Management
- Integrate RMS with MES, SPC, FDC, and other manufacturing systems for end-to-end visibility.
- Ensure data quality, accuracy, and real-time availability for engineering and operations teams.
- Collaborate with IT teams for database management, server optimization, and cybersecurity compliance.
3. Reliability & Performance Analytics
- Develop dashboards, reports, and analytical tools to monitor equipment reliability KPIs (MTBF, MTTR, OEE).
- Use RMS insights to recommend and implement preventive/corrective actions to improve tool uptime and process stability.
- Partner with process and maintenance engineers to translate RMS data into actionable reliability programs.
4. Continuous Improvement & Innovation
- Drive enhancements in RMS through advanced analytics, AI/ML models, and predictive maintenance algorithms.
- Identify opportunities to automate RMS workflows and reporting.
- Benchmark RMS performance against industry best practices in semiconductor manufacturing.
Qualifications & Skills
Education:
- Bachelor’s in Electronics, Instrumentation, Computer Science, or related engineering discipline.
- Master’s degree or certifications in manufacturing systems or reliability engineering preferred.
Experience:
- 5–8 years of hands-on experience with RMS, FDC, or equipment monitoring systems in a semiconductor or electronics manufacturing environment.
- Strong understanding of OSAT operations, tool reliability, and equipment maintenance processes.
Technical Skills:
- Expertise in RMS platforms (e.g., Camline, BISTel, PEER Group, Applied E3, or custom solutions).
- Proficiency in industrial communication protocols (SECS/GEM, OPC-UA, MQTT).
- Strong skills in SQL, data visualization tools (Power BI, Tableau), and scripting (Python, JavaScript).
- Experience with AI/ML-based predictive maintenance is an advantage.
Soft Skills:
- Strong analytical and problem-solving mindset.
- Effective communication and cross-functional collaboration skills.
- Ability to work in a fast-paced manufacturing environment with tight deadlines.
MES Technical Developer
Posted 3 days ago
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Job Description
Job Summary:
We are looking for an experienced Senior MES Technical Developer with in-depth expertise in Siemens Opcenter Execution (formerly Camstar) to lead the design, development, and deployment of MES solutions tailored for high-tech electronics or semiconductor manufacturing.
Key Responsibilities:
- Lead the development and customization of MES workflows, user interfaces, and logic within Siemens Opcenter Execution.
- Implement unit-level traceability for complex manufacturing processes, including die attach, wire bond, SMT, test, and packaging.
- Customize Opcenter modules using C#, .NET, XML, Camstar APIs, LOVs, and BPM tools .
- Drive integration of MES with equipment data collection systems (FDC, RMS, SPC) for smart manufacturing and AI readiness.
- Collaborate with cross-functional teams (IT, QA, Engineering, Production) to gather requirements and ensure MES functionality aligns with business needs.
- Troubleshoot and resolve MES-related issues, optimize performance, and lead root cause analysis for incidents.
- Support MES upgrades, validation, and deployment across multiple factory locations.
- Mentor junior developers and contribute to MES development standards and documentation.
Required Qualifications:
- Bachelor’s degree in Computer Science, Electronics, or related engineering discipline.
- 5+ years of hands-on experience with Siemens Opcenter Execution / Camstar in a high-volume manufacturing environment.
- Proficiency in C#, .NET Framework, SQL (Oracle or SQL Server), XML/Web Services .
- Strong understanding of semiconductor/electronics assembly and test processes , especially in OSAT/EMS environments.
- Experience in MES integration with equipment automation and factory systems using SECS/GEM, OPC, or MQTT protocols – preferable
Desirable Skills & Tools:
- Equipment interface integration using SECS/GEM, OPC UA, MQTT .
- Knowledge of SPC, FDC, RMS, or AI/ML data pipeline integration with MES.
- Version control (Git), DevOps tools, Agile/Scrum methodologies.
Soft Skills:
- Strong problem-solving and troubleshooting skills
- Excellent communication and cross-functional collaboration
- Leadership mindset with ability to mentor junior developers
- Structured approach to documentation and change control
Preferred Certifications (Optional):
- Siemens Opcenter MES Developer Certification
- Microsoft Certified: Azure Developer / .NET Developer
Automation Engineer
Posted 3 days ago
Job Viewed
Job Description
Tata Electronics (a wholly owned subsidiary of Tata Sons Pvt. Ltd.) is building India’s 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.
Tata Electronics 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.
Job Summary:
Looking for a skilled Automation Engineer with 3–5 years of hands-on experience in semiconductor or OSAT manufacturing . The candidate will be responsible for implementing, maintaining, and optimizing automation systems for front-end and back-end assembly, test, and packaging processes. This role requires close collaboration with manufacturing, MES, IT/OT, and equipment engineering teams to improve factory throughput, yield, and operational efficiency.
Key Responsibilities:
- Design, deploy, and maintain automation solutions across packaging, test, and probing lines.
- Integrate equipment with MES and other factory systems (e.g., SECS/GEM, OPC, PLC, SCADA).
- Develop and support automation scripts, APIs, and logic for data acquisition and tool control.
- Lead or support Industry 4.0 initiatives, such as smart manufacturing, predictive maintenance, and robotics integration.
- Troubleshoot automation failures and ensure high equipment uptime.
- Collaborate with cross-functional teams to gather automation requirements and deliver scalable solutions.
- Develop and maintain system documentation, validation protocols, and SOPs.
- Monitor and improve automation system performance through KPIs and continuous improvement practices.
Required Qualifications:
- Bachelor’s degree in Electronics, Electrical, Computer Science, Mechatronics, or related field.
- 3–5 years of experience in automation within semiconductor/OSAT manufacturing.
- Strong knowledge of MES, IT/OT architecture, and equipment communication protocols.
- Basic understanding of scripting languages (Python, VB, or C#) for automation tasks.
Preferred Skills:
- Familiarity with smart factory, RPA, or digital twin technologies.
- Exposure to machine learning, data analytics, or AI-driven automation.
- Hands-on experience with SECS/GEM, EDA (Interface A) and equipment integration.
- Experience in supporting 24x7 manufacturing operations with high availability systems.
- Knowledge of recipe management systems (RMS) and unit-level traceability.
Soft Skills:
- Strong analytical and problem-solving abilities.
- Good communication and documentation skills.
- Team player with a proactive, hands-on attitude.