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AI Engineer – Automation, Robotics

QA Automation EngineerQA Automation EngineerFull TimeRemoteMid LevelTeam 1-10H1B No SponsorCompany SiteLinkedIn

Location

Washington

Posted

11 days ago

Salary

$52 - $55 / hour

Seniority

Mid Level

Bachelor Degree2 yrs expEnglishAzurePythonPyTorch

Job Description

AI Engineer – Automation, Robotics

BPCS, Comprehensive marketing solutions, ltd.

• Design, develop, and maintain machine learning models for robotics and embodied AI applications • Fine-tune and improve complex software implementations for robotic systems • Build and maintain training and evaluation pipelines using tools such as Azure Machine Learning • Analyze, curate, and refine datasets for robotic and AI model performance • Develop tools and frameworks for rapid deployment of algorithms in simulation and on robotic hardware • Integrate robotic control and perception systems with simulation environments • Architect and implement test automation infrastructure for robotics software • Troubleshoot, debug, and resolve issues across production and research systems • Support deployment efforts and assist with customer-related technical issues • Contribute to open-source robotics software and research initiatives • Collaborate with cross-functional teams to drive research impact and system performance • Document technical designs, workflows, and system improvements

Job Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, Robotics, or a related technical field
  • 2–4 years of experience in software engineering, machine learning, or robotics
  • Minimum 2+ years of experience with Python
  • Minimum 2+ years of experience with PyTorch (or similar ML frameworks)
  • Minimum 2+ years of experience with ROS2 (Robot Operating System)
  • Strong foundation in computer science fundamentals, including data structures, algorithms, and software design
  • Experience with simulation environments or robotic hardware systems
  • Experience with debugging, unit testing, and maintaining both new and legacy systems
  • Proficiency in problem diagnosis and resolution in complex systems
  • Experience building or working with ML training pipelines and evaluation frameworks

Benefits

  • Medical, dental, and vision coverage
  • Flexible Spending Account
  • 401k program
  • Competitive PTO offerings
  • Parental Leave
  • Opportunities for professional growth and development

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