
Physical AI Field Applications Engineer β UR, MiR
Posted Jun 21

Posted Jun 21
This is a fully remote position, open to applicants in California.
β’ Act as the main technical resource for the sales team in the Bay Area.
β’ Collaborate with Account Managers to assess opportunities and enhance sales through technical know-how.
β’ Conduct customer discovery sessions and translate requirements into UR/MiR solutions.
β’ Provide demonstrations, technical presentations, and proof-of-concept experiences.
β’ Create ROI analyses, proposals, and solution recommendations.
β’ Lead customers and partners through design reviews, pilot projects, and scaling processes.
β’ Facilitate workshops, architecture reviews, and hands-on sessions.
β’ Assist with proof-of-concept and pilot implementations at significant customer locations.
β’ Aid in designing systems utilizing UR/MiR hardware, sensors, perception, and AI technologies.
β’ Diagnose robotic performance challenges during both pre-sale and post-sale interactions.
β’ Bachelor's degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related discipline; advanced degree is preferred for candidates with extensive AI/ML robotics research experience.
β’ Over 3 years of experience in a customer-facing technical position such as Field Applications, Solutions, Pre-Sales, or Technical Account Management in the fields of robotics, automation, or AI.
β’ Capability to collaborate with sales teams to boost revenue through technical expertise.
β’ Practical experience with ROS/ROS2 for robot application development and integration.
β’ Background in designing or integrating perception, manipulation, or mobile robot systems using sensors and AI inference pipelines.
β’ Proficient in Python; familiarity with C++ is an advantage.
β’ Openness to travel within the Bay Area and occasionally on a national level.
β’ Medical
β’ Dental
β’ Vision
β’ Flexible Spending Accounts
β’ Retirement savings plans
β’ Life and disability insurance
β’ Paid vacation & holidays
β’ Tuition assistance programs
McKesson
DoiT International
GLORY
PerkinElmer
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