Senior AI/ML Engineer, Physical AI Solutions

Teradyne

Senior AI/ML Engineer developing physical AI for Teradyne’s Universal Robots and Mobile Industrial Robots. Deploying perception, localization, and manipulation capabilities in industrial customer environments.

Posted 8/4/2026full-timeNorth Reading • Massachusetts • 🇺🇸 United StatesSenior💰 $219,800 - $351,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI capabilities for autonomous mobile robots, including obstacle detection, object identification, and SLAM. Proficient in integrating AI/ML into robotics software and validating model performance in production environments.

Highest-signal resume keywords

AI-Powered Product DevelopmentSensor Technology ExpertiseRobotics Software IntegrationModel Performance EvaluationNVIDIA Isaac Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Obstacle DetectionObject IdentificationPose EstimationSLAMLocalization TechniquesData ScienceData EngineeringAI/ML IntegrationSimulation EnvironmentsRobotic Manipulators

Soft Skills

CollaborationCross-Functional TeamworkAnalytical Thinking

Tools & Technologies

NVIDIA Isaac PlatformRGBD CamerasLiDARTime-of-Flight Sensors

Industry Keywords

Autonomous Mobile RobotsIndustrial Robotic ArmsAI InnovationsProduction DeploymentCustomer Support

About the role

Key responsibilities & impact

Lead development and deployment of physical AI capabilities for autonomous mobile robots and industrial robotic arms
Advance obstacle detection, object identification and classification, pose estimation, SLAM, and precision localization systems
Engineer solutions using simulation and data generation platforms
Make sensor-modality trade-offs across RGBD cameras, LiDAR, and Time-of-Flight sensors based on performance, cost, and application requirements
Take AI innovations from concept through production deployment and ongoing customer support
Collaborate with R&D teams at Universal Robots and Mobile Industrial Robots
Analyze model performance, quality metrics, limitations, and training-run regressions
Rigorously validate AI capabilities and boundaries for customer-facing robotics solutions

Requirements

What you’ll need

Deep understanding of sensor technologies including RGBD, LiDAR, and ToF
Experience shipping AI-powered products to market and supporting them in production customer environments
Strong software engineering fundamentals
Experience integrating AI/ML capabilities into existing robotics software stacks
Expertise in data science and data engineering
Experience working in cross-functional teams building complete systems
Demonstrated ability to rigorously evaluate ML model performance and establish meaningful metrics
Experience tracking model quality across training iterations
Experience utilizing simulation environments for engineering and validation workflows
Knowledge of obstacle detection, object identification and classification, and pose estimation
Knowledge of various SLAM approaches and their trade-offs
Knowledge of localization techniques from precision to relative positioning
Experience with robotic manipulators and mobile platforms
Hands-on experience with NVIDIA Isaac platform and tools
Background working with AMRs or industrial robotic arms in production settings
Knowledge of and interest in Vision-Language-Action (VLA) models and their application to robotics
Contributions to robotics or AI research communities
Some travel required

Benefits

Comp & perks

Discretionary bonus(es) based on financial performance
Medical insurance
Dental insurance
Vision insurance
Flexible Spending Accounts
Retirement savings plans
Life insurance
Disability insurance
Paid vacation and holidays
Tuition assistance programs