Real-Time Camera Systems Engineer for Robotic AI

Skild; San Mateo (CA); On-site; USD 100,000 - 300,000; Full time

Job summary

Skild AI in Pittsburgh, PA seeks an experienced Camera Systems Software Engineer to own camera integration for real-time robotic systems on NVIDIA Tegra platforms. You will define requirements with external camera partners and build low-latency pipelines.

This hands-on role spans Linux, camera hardware, calibration, synchronization, and API design. Collaborate with perception and robotics teams to productionize the camera stack.

Qualifications

• Bachelor's or Master's degree in a relevant technical field.
• 5+ years hands-on embedded camera systems experience.
• Strong C/C++ on Linux with multithreading and low-latency design.
• Experience with camera interfaces such as MIPI CSI-2, I2C, GMSL, FPD-Link.
• Knowledge of real-time vision requirements: timestamping, synchronization, buffering.

Responsibilities

• Own camera systems end to end, from vendor requirements to integration and maintainability.
• Define requirements for custom cameras, including sensors, optics, frame rates, calibration needs.
• Develop and maintain low-level camera software: drivers, device-tree changes, capture-path validation.
• Debug camera issues across hardware/software boundary (MIPI CSI-2, I2C, GMSL) and timestamping.
• Design reliable, low-latency camera pipelines for real-time robotics with proper buffering and scheduling.
• Build high-level APIs exposing frames, timestamps, metadata and diagnostics to perception and product software.

Skills

C/C++ development

Real-time / low-latency software

Linux kernel and driver debugging

Multi-camera synchronization

Hardware-software integration

Education

Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Robotics, CS

Tools

MIPI CSI-2

I2C

GMSL

FPD-Link

Device-tree

Camera drivers

Job description

Skild AI in Pittsburgh, PA seeks an experienced Camera Systems Software Engineer to own camera integration for real-time robotic systems on NVIDIA Tegra platforms. You will define requirements with external camera partners and build low-latency pipelines.

This hands-on role spans Linux, camera hardware, calibration, synchronization, and API design. Collaborate with perception and robotics teams to productionize the camera stack.