Physical AI Field Applications Engineer, UR / MiR

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Sales-focused technical role as a Physical AI Field Applications Engineer at Universal Robots. Collaborate with sales teams in Bay Area to drive customer adoption and implement robotic solutions.

Posted 7/9/2026full-timeBay Area • California • 🇺🇸 United StatesMid-LevelSenior💰 $125,500 - $200,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in robotics and AI, with a strong focus on customer engagement and technical sales support. Proficient in developing and integrating robotic systems using ROS/ROS2 and Python, while effectively collaborating with sales teams to drive revenue.

Highest-signal resume keywords

ROS/ROS2 Application DevelopmentCustomer-Facing Technical RolePython ProficiencyAI/ML Robotics Research ExperienceTechnical Sales Support

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

RoboticsAI Inference PipelinesSystem IntegrationTechnical PresentationsROI AnalysisProposal DevelopmentSolution RecommendationsDesign ReviewsPilot DeploymentsReference Architectures

Soft Skills

CollaborationCommunicationCustomer EngagementProblem-SolvingWorkshop Facilitation

Certifications & Qualifications

Bachelor's Degree in RoboticsBachelor's Degree in Computer ScienceBachelor's Degree in Electrical EngineeringBachelor's Degree in Mechanical Engineering

Industry Keywords

Field ApplicationsSolutionsPre-SalesTechnical Account ManagementAutomation

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Partner with Account Managers to qualify opportunities and drive sales through technical expertise.
Lead customer discovery and translate needs into UR/MiR solutions.
Deliver demos, technical presentations, and proof-of-concept experiences.
Build ROI analyses, proposals, and solution recommendations.
Answer technical questions in RFIs/RFPs and support proposals.
Guide customers and partners from design reviews to pilots and scale-up.
Lead workshops, architecture reviews, and hands-on sessions.
Support proof-of-concept and pilot deployments at key customer sites.
Create reference architectures and best-practice guides for Physical AI adoption.

Requirements

What you’ll need

Bachelors degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field; advanced degree preferred for candidates with deeper AI/ML robotics research experience.
3+ years in a customer-facing technical role such as Field Applications, Solutions, Pre-Sales, or Technical Account Management in robotics, automation, or AI.
Ability to partner with sales teams to drive revenue through technical expertise.
Hands-on experience with ROS/ROS2 for robot application development and integration.
Experience designing or integrating perception, manipulation, or mobile robot systems using sensors and AI inference pipelines.
Proficiency in Python; C++ familiarity is a plus.
Willingness to travel within the Bay Area and occasionally nationally.

Benefits

Comp & perks

medical
dental
vision
Flexible Spending Accounts
retirement savings plans
life and disability insurance
paid vacation & holidays
tuition assistance programs