Ouster

Own and advance Ouster’s integration testing framework as a hands-on SDET, building scalable automated validation for lidar software and system-level interactions. This role bridges development and quality assurance while championing testability and release quality.

Build and architect embedded software for Ouster’s high-resolution LiDAR firmware systems, spanning high-level system design and low-level implementation. This onsite San Francisco role offers Senior or Staff-level scope working with C++, Rust, Python, Linux, and ARM-based SoCs.

Lead the design and deployment of deep neural networks for real-time object detection and tracking on LiDAR and edge devices. This role combines research-to-production model development, extensive architecture customization, and performance optimization.

Lead the development of deep neural networks for real-time object detection and tracking on LiDAR-powered devices. This role combines research translation, custom model architecture design, and edge optimization for robotics and autonomous systems.

Lead the architecture and development of automated test systems for Ouster’s lidar sensor software interface. This staff-level role combines Python test automation, hardware-in-the-loop validation, CI/CD integration, and quality advocacy for robotics, industrial automation, and automotive applications.

Build robust Python-based automated test systems that connect LiDAR hardware, instruments, and manufacturing data infrastructure. This hands-on role improves factory test reliability, throughput, and software quality.