Senior Data & Perception Engineer – On-Line Automation

senrasystems; Cypress (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Senra Systems is redefining complex manufacturing by instrumenting production lines with cameras and sensors and building a scalable data layer for real-time insights. You’ll own perception, measurement, and data governance across production cells, collaborating with robotics and industrial teams to deploy on real hardware.

The role emphasizes hands-on leadership, rapid prototyping, and end-to-end ownership in a fast-growing startup environment on a real production line in California.

Qualifications

• Hands-on experience building data infrastructure or perception systems in production.
• Strong Python and SQL, with PyTorch or similar frameworks.
• Experience with cameras/sensors on real hardware and edge compute.
• Bachelor's degree in CS/EE/Robotics or equivalent hands-on experience.

Responsibilities

• Instrument the line with cameras and sensors and edge hardware on the floor.
• Build the factory data layer with pipelines and storage linked to jobs/operations.
• Develop perception for production: vision-based inspection and recognition.
• Create automated measurement via time studies, step logs, photo records.
• Support data for robot learning: capture, labeling, datasets, evaluation tools.
• Implement data governance: access control and handling of sensitive data.
• Define engineering standards and evaluate external platforms/vendors.
• Mentor and help grow the engineering team.

Skills

Production data infra

Computer vision in the physical world

Data engineering for video/sensor data

Edge compute on real hardware

Ownership and fast iteration

Strong Python/SQL

Education

Bachelor's in CS/EE/Robotics

Tools

Python

SQL

PyTorch

C++

Job description

Senra Systems is redefining complex manufacturing by instrumenting production lines with cameras and sensors and building a scalable data layer for real-time insights. You’ll own perception, measurement, and data governance across production cells, collaborating with robotics and industrial teams to deploy on real hardware.

The role emphasizes hands-on leadership, rapid prototyping, and end-to-end ownership in a fast-growing startup environment on a real production line in California.