Applications & FAE
Support customer deployments and integration for Lyte's Physical AI perception platform.
About the role
Lyte is seeking a Field Applications Engineer to support customer engagements, demonstrations, and real-world deployments of its Physical AI perception platform. You will work hands-on with the perception stack, demo systems, and reference platforms across hardware, firmware, and software layers.
What you'll do
- Own technical execution of customer demos, evaluations, and proof-of-concept deployments.
- Configure, deploy, and debug perception systems across hardware, firmware, and software layers.
- Support customer integration efforts, including sensor placement, system bring-up, calibration, and performance validation.
- Diagnose and resolve issues spanning perception algorithms, data pipelines, sensors, compute, and robotics platforms.
- Capture customer feedback from field deployments and communicate insights to product and engineering teams.
- Build and maintain demo assets, reference configurations, and internal documentation, and travel to customer sites for on-site demos, testing, and workshops.
What you'll need
- Bachelor’s or Master’s degree in Engineering, Computer Science, Robotics, or a related technical field.
- 5+ years of hands-on engineering experience working with robotics systems, perception stacks, or autonomous platforms.
- Strong systems-level understanding of robotics platforms combining hardware, sensors, compute, and software.
- Proficiency in Python and/or C++ for system bring-up, tooling, debugging, and analysis.
- Experience working with Linux-based systems and modern development workflows.
Nice to have
- Experience with robotics middleware such as ROS / ROS2.
- Familiarity with perception algorithms, point cloud processing, or sensor fusion concepts.
- Prior experience supporting demos, pilots, or early customer deployments of robotics or AI systems.
- Comfortable working in lab, field, and customer environments.
- Willingness to travel as needed for customer support and on-site engagements.
Skills: Field Applications Engineer, perception systems, robotics
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