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Global Product Support Engineer 4

icon building Company : Lam Research
icon briefcase Job Type : Full Time

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Job Description - Global Product Support Engineer 4

Provides technical support to field engineers, technicians, and product support personnel who are diagnosing, troubleshooting, repairing and debugging complex electro/mechanical equipment, computer systems, complex software, or networked and/or wireless systems. Responds to situations where first-line product support has failed to isolate or fix problems in malfunctioning equipment or software. Reports design, reliability and maintenance problems or bugs to design engineering/software engineering. May be involved in customer installation and training. Provides support to customer/users where the product is highly technical or sophisticated in nature and rapidly evolving. Work closely with a highly cross-functional team of development engineers to implement solutions to customer issues on a leading edge big data platform. Perform user acceptance testing before deploying solutions to the field. Develop and implement procedures for configuration and testing of systems. Create documentation highlighting root cause corrective actions and ensure the developed solutions are actionable by our field service engineers. Ability to travel domestically and internationally to customer sites if the issue cannot be resolved remotely. BS/MS degree in a computer science field or related discipline Passionate about solving problems involving complex interrelated software systems 3+ years experience in software support and troubleshooting Extensive programming background in one or more language (shell scripting, Java, SQL, Python, R) Hands-On experience with IP networking and networking equipment (Switches, Routers, Firewalls, etc) Familiarity with Hadoop core services Experience with messaging & complex file processing systems such as Flume, Kafka, and Solr Good understanding of file formats including JSON and others Excellent communication skills and the ability to clearly, document, articulate, and share findings with the team 6+ years experience in Hadoop, HBase, Spark, Kafka, Solr Experience (or at least familiarity) with relational database schemas Experience with semiconductor capital equipment systems, SECS/GEM, factory automation, and data storage Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. ‘On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time. Salary CA San Francisco Bay Area Salary Range for this position: $104,000.00 - $231,000.00. The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
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