Teradyne

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

Teradyne$125K — $200K *
US-AnywhereRemote in California, US
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Robotics, Computer Science, Electrical or Mechanical Engineering; advanced degree preferred.
  • 3+ years in a customer-facing technical role in robotics, automation, or AI.
  • Strong ability to partner with sales teams to drive revenue through technical expertise.
  • Hands-on experience with ROS/ROS2 for robot development and integration.
  • Experience designing or integrating robotic 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.

Responsibilities

  • Partner with Account Managers to qualify opportunities and drive sales with technical expertise.
  • Lead customer discovery and translate needs into solutions for UR/MiR platforms.
  • Deliver demos and technical presentations to showcase capabilities.
  • Build ROI analyses and solution recommendations for clients.
  • Guide customers through design reviews and pilot deployments.
  • Troubleshoot robotic performance issues during engagements.
  • Train partners on best practices for UR/MiR software and AI workflows.

Benefits

  • Robust health and well-being programs including medical, dental, and vision.
  • Flexible Spending Accounts.
  • Retirement savings plans.
  • Life and disability insurance.
  • Paid vacation and holidays.
  • Tuition assistance programs.
Full Job Description
The Physical AI Field Applications Engineer is a sales-focused, customer-facing technical role embedded within Teradyne's Universal Robots (UR) and Mobile Industrial Robots (MiR) businesses. You will serve as the primary technical resource for the Bay Area sales team, partnering directly with Account Managers to win and expand strategic accounts by demonstrating deep expertise in Physical AI, robotics software stacks, and AI-powered automation.

This is not a research or product development role. Success is defined by your ability to drive customer adoption, accelerate sales cycles, and ensure customers and reseller partners successfully deploy UR/MiR platforms. You will be the trusted technical advisor who bridges the gap between complex AI and robotics technology and real-world customer value.

Key Responsibilities

Sales & Pre-Sales Technical Support
  • 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.


Internal Feedback & Product Collaboration
  • Bring customer feedback into the business, including field needs and feature gaps.
  • Work with product and engineering to improve solutions.
  • Share market insights on customer evaluation criteria and objections.
  • Maintain accurate CRM records of activities and outcomes.


All About You

We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you're ready to join us in this mission, take a closer look at the minimum criteria for the position.

  • 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.


Preferred Qualifications
  • Hands-on experience with Universal Robots (UR) cobots or Mobile Industrial Robots (MiR).
  • Familiarity with NVIDIA Isaac Sim, Isaac Lab, or similar sim-to-real tools.
  • Experience with VLA models, learning from demonstration, or teleoperation-based data collection.
  • Knowledge of robot training data pipelines, including curation, labeling, and quality management.
  • Exposure to AI inference frameworks such as ONNX, TensorRT, or PyTorch on edge hardware.
  • Familiarity with cloud or edge robotics infrastructure such as AWS RoboMaker or Azure IoT/Digital Twins.
  • Experience supporting enterprise or hyperscaler robotics or automation deployments.
  • Track record of creating technical content such as application notes, white papers, or demo repositories.
  • Exposure to business metrics, Salesforce, and commercial deal processes.


We are only considering candidates local to position location and are unable to provide relocation for this position.

Compensation:
The base salary range for this role is $125,500-$200,700. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range can also fluctuate depending on demand and location.

Benefits:

Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more. Please click here to see details.

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About Teradyne

Teradyne, Inc. is a leading supplier of automation equipment for test and industrial applications. Teradyne Automatic Test Equipment (ATE) is used to test semiconductors, wireless products, data storage and complex electronic systems, which serve consumer, communications, industrial and government customers. Industrial Automation products include Collaborative Robots used by global manufacturing and light industrial customers to improve quality and increase manufacturing efficiency. In 2019, Teradyne had revenue of $2.3 billion and today employs 5,500 people worldwide. For more information, visit teradyne.com. Teradyne(R) is a registered trademark of Teradyne, Inc. in the U.S. and other countries.
Learn more about Teradyne
Size
5,900 employees
Market Cap
$13.1 billion
Industry
Net Income
$784.1 million
Founded
1960
5 Year Trend
+16.1%
Revenue
$3.1 billion
NASDAQ

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