✦ Luna Orbit — AI & Machine Learning

Staff Engineer - AI & Robotics

at Analog Devices

📍 6 Locations Hybrid Posted March 13, 2026
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Position Details

Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category AI & Machine Learning

About this role

A mid-level engineering role focused on developing testing and validation frameworks for AI-driven robotic systems, ensuring safety and robustness.

Key Responsibilities

  • Lead test strategy
  • Develop validation pipelines
  • Automate perception and manipulation testing
  • Collaborate with cross-functional teams
  • Ensure system robustness

Technical Overview

Involves AI, robotics, perception models, SLAM, sensor fusion, automation, and system validation using simulation and hardware-in-the-loop testing.

Ideal Candidate

The ideal candidate is a mid-level engineer with 3+ years experience in AI and robotics, skilled in developing validation frameworks, automation, and system testing for autonomous robotic systems.

Must-Have Skills

AIRoboticsTest FrameworksPythonAutomation

Nice-to-Have Skills

SLAMVIOSensor FusionSystem ValidationCI/CD

Tools & Platforms

JiraSimulation Platforms

Required Skills

AIArtificial IntelligenceRoboticsSLAMVIOSensor FusionTest FrameworksAutomationCI/CDPythonSimulationHardware-in-the-LoopModel-in-the-Loop

Hard Skills

AIArtificial IntelligenceRoboticsSLAMVIOSensor FusionPerception ModelsSystem ValidationTest FrameworksAutomationCI/CDPythonSimulationHardware-in-the-LoopModel-in-the-Loop

Soft Skills

leadershipcollaborationproblem-solvingcommunicationanalytical thinking

Industry & Role

Industry Semiconductor / Technology
Job Function Developing validation and testing frameworks for AI and robotic systems

Keywords for Your Resume

Staff EngineerAIArtificial IntelligenceRoboticsSLAMVIOSensor FusionTest FrameworksAutomationCI/CDModel-in-the-LoopHardware-in-the-LoopPerception ModelsValidation PipelinesAutonomous SystemsPython

Deal Breakers

Lack of experience in AI or robotics, No experience with test automation or validation frameworks, Inability to work in a hybrid environment

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