Product Engineer (Data Analytics)
Company: Disability Solutions
Location: Ann Arbor
Posted on: April 18, 2024
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Job Description:
Base Pay Range: $70,700.00 - $120,200.00 AnnuallyPrimary
Location: USA-MI-Ann Arbor-KLAKLA's total rewards package for
employees may also include participation in performance incentive
programs and eligibility for additional benefits identified below.
Interns are eligible for some of the benefits identified below. Our
pay ranges are determined by role, level, and location. The range
displayed above reflects the minimum and maximum pay for this
position in the primary location identified in this posting. Actual
pay depends on several factors, including location, job-related
skills, experience, and relevant education level or training. If
applicable, your recruiter can share more about the specific pay
range for your preferred location during the hiring process.
Company Overview KLA is a global leader in diversified electronics
for the semiconductor manufacturing ecosystem. Virtually every
electronic device in the world is produced using our technologies.
No laptop, smartphone, wearable device, voice-controlled gadget,
flexible screen, VR device or smart car would have made it into
your hands without us. KLA invents systems and solutions for the
manufacturing of wafers and reticles, integrated circuits,
packaging, printed circuit boards and flat panel displays. The
innovative ideas and devices that are advancing humanity all begin
with inspiration, research and development. KLA focuses more than
average on innovation and we invest 15% of sales back into R&D.
Our expert teams of physicists, engineers, data scientists and
problem-solvers work together with the world's leading technology
providers to accelerate the delivery of tomorrow's electronic
devices. Life here is exciting and our teams thrive on tackling
really hard problems. There is never a dull moment with us.
Group/Division The KLA Services team headquartered in Milpitas, CA
is our service organization that consists of Service Sales and
Marketing, Spares Supply Chain management, Field Operations,
Engineering, Product Training, and Technical Support. The KLA
Services organization partners with our field teams and customers
in all business sectors to maintain the high performance and
productivity of our products through a flexible portfolio of
services. Our comprehensive services include: proactive management
of tools to identify and improve performance; expertise in optics,
image processing and motion control with worldwide service
engineers, 24/7 technical support teams and knowledge management
systems; and an extensive parts network to ensure worldwide
availability of parts.Job Description/Preferred Qualifications
Group/Division The Global Service Support Organization (GSS) team
headquartered in Milpitas, CA is our service organization that
consists of Service Sales and Marketing, Spares Supply Chain
management, Field Operations, Engineering, Product Training, and
Technical Support. The GSS organization partners with our field
teams and customers in all business sectors to maintain the
commitment and productivity of our products through a flexible
portfolio of services. Our comprehensive services include:
proactive management of tools to identify and improve performance;
expertise in optics, image processing and motion control with
worldwide service engineers, 24/7 technical support teams and
knowledge management systems; and an extensive parts network to
ensure worldwide availability of parts. Primary Responsibility
Sustaining product engineering serves as the central technical
resource collaborating with engineering, manufacturing, technical
support, installation, quality, marketing, part supply chain, and
field as the product(s) move through the Product Life Cycle. Will
be fully coordinated and working directly with the aforementioned
teams to incorporate helpful serviceability, part supportability,
and service business practice improvements into product
serviceability. Job Scope
Keywords: Disability Solutions, Taylor , Product Engineer (Data Analytics), Engineering , Ann Arbor, Michigan
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