Physical AI Field Applications Engineer (UR / MiR, Bay Area, CA)

Key Responsibilities

• 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.
• Keep sales and leadership informed on progress, risks, and feedback.

Customer Technical Engagement & Adoption

• 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.
• Help design systems using UR/MiR hardware, sensors, perception, and AI.
• Troubleshoot robotic performance issues during pre- and post-sale engagements.
• Create reference architectures and best-practice guides for Physical AI adoption.

Physical AI & Robotics Applications Support

• Support robot data collection, including teleoperation and demonstration capture.
• Guide dataset and annotation requirements for model training.
• Support sim-to-real workflows with NVIDIA Isaac Sim/Isaac Lab or similar tools.
• Contribute to perception, control, and AI inference design on UR/MiR platforms.
• Support ROS/ROS2 development for automation applications.
• Advise on sensor integration and data management.

Partner & Ecosystem Enablement

• Train partners on UR/MiR software, AI workflows, and deployment best practices.
• Collaborate on customer deployments to ensure strong execution and experience.
• Create enablement programs, playbooks, and certification materials.
• Grow Bay Area partners for co-selling and solution delivery.
• Represent Teradyne at industry events and partner summits.

All About You

• We seek individuals who share our passion and determination.
• The role requires a 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.
• Experience in a customer-facing technical role such as Field Applications, Solutions, Pre-Sales, or Technical Account Management in robotics, automation, or AI is required.
• Hands-on experience with ROS/ROS2 for robot application development and integration is essential.
• Experience designing or integrating perception, manipulation, or mobile robot systems using sensors and AI inference pipelines is beneficial.
• Proficiency in Python; C++ familiarity is a plus.
• Willingness to travel within the Bay Area and occasionally nationally is required.