Automation Research & Development Engineer

Kaiser AluminumSpokane Valley, WA
$85,000 - $125,000Onsite

About The Position

Kaiser Aluminum is seeking an Automation & Development Engineer to join their team onsite in Spokane, Washington. This role is for an engineer or scientist who solves real-world manufacturing problems by writing code, with a deep interest and knowledge about manufacturing process optimization and data analytics. The ideal candidate will have expertise in using modern technologies and data-driven methodologies to enhance manufacturing processes. Must be a U.S. person (identified as U.S. Citizen, U.S. Permanent Resident (Green Card), any individual who is granted status as a “protected person” under 8 U.S.C. 1324b(a)(3)).

Requirements

  • Bachelor’s degree or higher degree in Engineering, Physics, or Chemistry with strong aptitude in Math and Software Development.
  • Experience converting mathematical models of physical systems into software algorithms (Numerical Methods)
  • Familiarity with at least one programming or scripting language (C#, Java, Python, etc.)
  • Familiarity with manufacturing software and systems such as PLCs, SCADA, Historians and Reporting (for example: ControlLogix, Pi, Wonderware, Ignition, Power BI, Alteryx, etc.)
  • Familiarity with database concepts
  • Excellent problem solving, investigative, experimental, and statistical analysis skills.
  • Ability to apply continuous improvement tools and methodologies to processes and projects
  • Proven ability to work in teams
  • Ability to manage multiple tasks simultaneously.

Nice To Haves

  • Manufacturing experience is a plus.

Responsibilities

  • Leverage data analytics, process control, and cutting-edge technologies to improve and optimize manufacturing processes.
  • Develop and deploy software and systems supporting Industry 4.0 initiatives, including: Data warehousing for advanced analytics, Vertical & horizontal integration of manufacturing information and control systems, Simulation and Digital Twins to model and optimize processes, Advanced measurement systems for capturing and analyzing critical process variables.
  • Implement advanced technologies, such as: Computer Vision, Machine Learning, Internet of Things (IoT).
  • Support new process and product R&D by developing control systems, data collection, visualization, and analysis tools.
  • Build and deploy software solutions to improve process visualization and control, with metrics such as Overall Equipment Effectiveness (OEE), Statistical Process Control (SPC), and Quality Compliance.
  • Drive continuous process and production improvements through control system enhancements.
  • Develop a strong technical understanding of aluminum casting, rolling, heat treatment, and related operations.
  • Provide expert technical support to teams in Metallurgy, Quality Control, Engineering, Maintenance, and Production.
  • Create and maintain web applications for internal use, improving process transparency and access to critical data.

Benefits

  • Salary range $85,000 to $125,000 commensurate with experience.
  • High deductible medical, dental, vision, and basic life insurance, including spouse and children (modest payroll deductions).
  • 10 paid holidays per year.
  • Vacation (3 weeks starting out).
  • Supplemental leave (used in conjunction with Washington Paid Family & Medical Leave).
  • 401K with matching company funds.
  • Quarterly bonus structure.
  • Tuition reimbursement.
  • A collaborative, team-oriented culture that values initiative and continuous improvement.
  • Opportunities to work on a wide range of projects, from low-level equipment/process control to high-level, plant-wide digital integration systems.
  • Hands-on work with Industry 4.0 tools such as IoT sensors, data analytics, machine learning, digital twins, and smart factory systems.
  • Dedicated time and resources to explore, test, and implement new solutions and technologies.
  • Training in Lean Manufacturing, Six Sigma, advanced manufacturing software/hardware, metrology, and more.
  • Mentorship, cross-functional team experiences, and exposure to leadership – technical or Management - for those looking to advance.
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