SS
Senior Robotics Engineer, Robot Learning
Senra Systems
200–260 tn US$ / år · Cypress, California, US
Senra Systems designs and manufactures complex wire harnesses and electrical assemblies for aerospace and defense, using its Amp platform plus robotics, computer vision, and automation on in-house production lines in California.
Senra Systems designs and manufactures complex wire harnesses and electrical assemblies for aerospace and defense customers, running its own production lines rather than outsourcing assembly. The company's technical work spans wire harness design automation, manufacturing software, robotics, computer vision, and robot learning - with ongoing development of robotic and AI-driven capabilities applied to harness assembly. Founded in 2023 by former SpaceX engineers, Senra is headquartered in Redondo Beach, California, and operates an 80,000-square-foot manufacturing facility in Cypress, California.
Central to the operation is Amp, Senra's proprietary platform, which converts drawings into structured build plans, delivers digital work instructions to technicians on the factory floor, and links build and inspection records to each harness serial number for traceability. The engineering problem sits at the hardware/software boundary: translating unstructured drawing data into executable build steps, then closing the loop with the physical assembly and inspection performed by trained human technicians. Robotics, computer vision, and automation efforts are directed at this same workflow - handling the variability and dexterity demands that have kept wire harness work largely manual.
The company describes its approach as combining proprietary software, automation, and trained human technicians, and it identifies as a real manufacturer with in-house production lines serving major aerospace and defense programs. Work spans advanced manufacturing across the aerospace and defense verticals, from the Amp platform's data model and shop-floor interfaces to the robotic and perception systems being developed alongside the existing assembly processes.