Automation Engineer

Samsung SDI America Inc.

Auburn Hills (MI)

On-site

USD 90,000 - 120,000

Full time

14 days+
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Job summary

Samsung SDI America Inc. in Auburn Hills, MI is seeking an Automation Engineer to develop and maintain control software coordinating sensors, actuators, and lab equipment.

You will design control logic for high-throughput experimentation and collaborate with a multidisciplinary team. The role emphasizes prototyping custom devices, integrating sensors and motor systems, and communicating project progress through concise technical reports.

Qualifications

  • Bachelor’s degree in Mechanical, Electrical, Computer Engineering, Mechatronics or related field.
  • Minimum of 2 years of relevant experience (or advanced degrees in relevant fields).
  • Proficiency in Python, C/C++ or similar programming languages.
  • Proficiency in version control tools (e.g., SVN/Git/GitLab/GitHub).
  • Experience in microcontroller development (e.g., Arduino, Raspberry Pi).
  • Experience in prototyping custom devices/mechanisms and sensor/motor integration.
  • Familiarity with communication protocols (e.g., TCP/IP, RS-232).

Responsibilities

  • Develop, optimize, and maintain control software that coordinates sensors, actuators, and a wide range of laboratory equipment.
  • Design control logics and algorithms for high-throughput experimentation.
  • Build function-specific devices/tools to address challenges and inefficiencies in automated workflows.
  • Identify technical requirements and risks with the buildout of the high-throughput experiment platform, and propose actionable solutions/strategies.
  • Collaborate with a multidisciplinary team of scientists and engineers in a fast-moving environment.
  • Produce concise technical reports and presentations for efficient communication of project status.

Skills

Python
C/C++

Education

Bachelor’s degree in Engineering

Tools

Git
Arduino
Raspberry Pi

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Automation Engineer

Full Time Auburn Hills, MI, US

2 days ago Requisition ID: 1298

Samsung SDI Research America (SDIRA), based in Cambridge, MA, is one of several newly established global battery R&D centers created to foster cutting edge research and pioneer the development of Samsung’s next-generation cell technologies. The location is close to world-renowned universities and start-up companies, enabling unique collaborative research within a strong North American ecosystem of battery development expertise.

Responsibilities
  • Develop,optimize,andmaintaincontrolsoftwarethatcoordinatessensors,actuators,andawiderangeoflaboratoryequipment
  • Designcontrollogicsandalgorithmsforhigh-throughputexperimentation
  • Buildfunction-specificdevices/toolstoaddresschallengesandinefficienciesinautomatedworkflows
  • Identifytechnicalrequirementsandrisksassociatedwiththebuildoutofthehigh-throughputexperimentplatform,andproposeactionablesolutions/strategies
  • Collaboratewithamultidisciplinaryteamofscientistsandengineersinafast-movingenvironment
  • Produceconcisetechnicalreportsandpresentationsforefficientcommunicationofprojectstatus
Required qualifications
  • Bachelor’sdegreeinMechanical,Electrical,ComputerEngineering,Mechatronicsorarelatedfield
  • Minimumof2yearsofrelevantexperience(includingadvanceddegreesinrelevantfields)
  • ProficiencyinPython,C/C++orsimilarprogramminglanguages
  • Proficiencyinversioncontroltools(e.g.,SVN/Git/GitLab/GitHub)
  • Experienceinmicrocontrollerdevelopment(e.g.,Arduino,RaspberryPi)
  • Experienceinprototypingcustomdevices/mechanismsandsensor/motorintegration
  • Familiaritywithcommunicationprotocols(e.g.,TCP/IP,RS-232)
Preferred qualifications
  • Master’sdegreeinMechanical,Electrical,ComputerEngineering,Mechatronicsorarelatedfield
  • ExperiencewithCADand3Dprinting
  • FamiliaritywithmaterialsdevelopmentR&D
  • Familiaritywithdatabaseplatforms(e.g.,MongoDB,influxDB,questDB)
  • Experience implementing ML and Bayesian optimization frameworks (e.g., PyTorch, TensorFlow, BoTorch)
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