Performance Application Engineer, Intelligent Factory

Intrinsic • Mountain View, CA

3d

About The Position

Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core. Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics. Role As a Performance Application Engineer, you will own the process performance and optimization of our automation solutions. You will lead the definition and execution of Factory Acceptance Tests (FAT) and human-in-the-loop (HITL) testing to ensure systems meet rigorous cycle time and reliability standards. How your work moves the mission forward Own end-to-end process improvement and cycle time optimization for robotic cells. Define and drive the strategy for Factory Acceptance Tests (FAT). Define test blueprints for Intelligent Factory (IF) Cell and Line Human-In-The-Loop (HITL) tests. Actively perform and oversee HITL tests to validate system performance prior to deployment.

Requirements

• Bachelor’s degree or equivalent practical background in Robotics Engineering, Software Engineering, or a related technical field.
• Foundational understanding of industrial automation with a strong desire to learn, and contribute to their application in manufacturing environments.
• Programming proficiency with C++ and/or Python.
• Experience with data visualization tools or performance monitoring dashboards to communicate process health to stakeholders.
• Excellent collaboration skills, with the ability to work effectively with internal cross-functional teams and external technical partners during deployment and support.

Nice To Haves

• Experience with process improvement methodologies such as Six Sigma or Lean Manufacturing.
• Familiarity with simulation-to-reality (Sim2Real) gap analysis to predict performance before hardware is live.
• Experience with technologies such as Kubernetes, gRPC, Protobuf, Bazel, microservice architectures, and/or real-time systems.

Responsibilities

• Own end-to-end process improvement and cycle time optimization for robotic cells.
• Define and drive the strategy for Factory Acceptance Tests (FAT).
• Define test blueprints for Intelligent Factory (IF) Cell and Line Human-In-The-Loop (HITL) tests.
• Actively perform and oversee HITL tests to validate system performance prior to deployment.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees