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Who We Are
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
What We Offer
Location:
Bangalore,INDYou'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our .
Experience: 3-7 years
Qualification: BE / B. Tech / M. Tech or equivalent degree in Mechatronics, Electronics, Manufacturing Technology, or Industrial Automation
Key Responsibilities & Skills
. Expertise in Zebra Hardware & Software
. Automation Domain Knowledge
. Warehouse & Factory Systems
. Robotics & Mobile Automation
. Emerging Technologies Exposure
. Foundational Technical Skills
. Industry 4.0 Best Practices
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes, 10% of the TimeRelocation Eligible:
YesApplied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
Applied Materials, Inc. is an American corporation that supplies equipment, services and software for the manufacture of semiconductor (integrated circuit) chips for electronics, flat panel displays for computers, smartphones, televisions, and solar products. Integral to the growth of Silicon Valley, the company also supplies equipment to produce coatings for flexible electronics, packaging and other applications. The company is headquartered in Santa Clara, California.Founded in 1967 by Michael A. McNeilly and others, Applied Materials went public in 1972. In subsequent years, the company diversified, until James C. Morgan became CEO in 1976 and returned the company's focus to its core business of semiconductor manufacturing equipment.By 1978, sales increased by 17%.
Job ID: 151762703
Skills:
Github, Windows Server, Cloud Security, Performance Testing Tools, Ixia, Automation, Vmware Esx, Linux Operating System, Routing And Switching, Debuggers, Vxlan, Python, Source Code Control Systems, GPUs, Networking Testing, ROCM, Profilers, Micro-segmentation, Data Center Technologies, RDMA Technologies, AI Technologies, Slurm
Skills:
HSRP, Network Routers, Tcp Ip, Dns, VLAN, BGP, Ip Addressing, DHCP, Git, VRRP, Ansible, Subnetting, Rest Apis, Python, OSPF, Trunking, L2 L3 networking concepts, Netmiko, Paramiko, CI CD, STP, NAPALM, network switches
Skills:
Pyspark, Data Migration Testing, Data Warehouse Testing, Data Profiling, Advanced Sql, Python, Etl, Data Lake Validation, Automated Data Completeness, ELT Testing, Automated Record Count Reconciliation, Duplicate Null Data Integrity, Automated data validation and reconciliation frameworks, Schema Validation, Data Quality Validation, Business Rule Validation Automation, Metadata-driven testing framework design and implementation, Source-to-Target Data Reconciliation
Skills:
Docker, Linux, Selenium, Python, Playwright
Skills:
Etl Testing, Api Testing, Python Scripting, cloud, Gcp, Docker, Selenium, Containers, Postman, Azure, Kubernetes, data-science ML model testing, CI CD, data ML testing, data-warehouse testing, QA automation test engineering